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An Eco-Pleasant Strategy to Goal Diabetes – NanoApps Medical – Official web site


Researchers have developed an eco-friendly technique to supply silver nanoparticles from the roots of Martynia annua, displaying robust antioxidant and anti-diabetic potential whereas avoiding the poisonous by-products of typical synthesis.

Silver nanoparticles are significantly fashionable in analysis due to their excessive floor area-to-volume ratio, which boosts their reactivity and organic efficiency. Nevertheless, producing these tiny particles is energy-intensive, makes use of poisonous reagents, and generates hazardous waste.

Researchers are turning to crops to discover a much less environmentally compromising path to synthesis. Often called photosynthesis, scientists can harness the pure phytochemicals in crops to scale back silver ions (Ag+) to elemental silver (Ag0) and stabilize the ensuing particles, stopping aggregation. The important thing compounds concerned are terpenoids, flavonoids, saponins, and phenolics, amongst others.

The brand new examine, printed in Nano TransMed, focuses on Martynia annua, a plant with a wealthy phytochemical profile, significantly its roots, because the organic supply for nanoparticle manufacturing.

The researchers first ready an aqueous extract of Martynia annua roots, filtering the liquid rigorously to retain the phytochemicals required for nanoparticle formation. When mixed with a silver nitrate (AgNO3) resolution beneath managed situations, the extract confirmed a visual change in shade from pale yellow to reddish-brown, signalling the onset of floor plasmon resonance, a particular optical property of steel nanoparticles that confirms their synthesis.

The nanoparticles had been characterised utilizing a number of complementary methods: UV/Vis spectroscopy, Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), and dynamic mild scattering (DLS).

UV/Vis spectroscopy revealed a peak at round 420 nm, a wavelength typical of silver nanoparticles. This offered additional affirmation of the formation of particles exhibiting floor plasmon resonance.

FTIR recognized useful teams on the particle surfaces, akin to hydroxyl and carbonyl moieties, indicating the involvement of plant-derived compounds in capping and stabilization.

SEM pictures confirmed that the nanoparticles had been predominantly polygonal or irregular in form. EDX confirmed the fundamental composition of the nanoparticles, with a majority of silver current at 58.08 %, and hint quantities of different components.

DLS measured the hydrodynamic diameter of the particles at roughly 64 nm, with a polydispersity index of 0.385, suggesting a comparatively uniform measurement distribution appropriate for biomedical functions. Zeta potential evaluation indicated a floor cost of -21.6 mV, reflecting average colloidal stability and a lowered tendency for the nanoparticles to clump collectively in suspension.

Phytochemical evaluation of the foundation extract confirmed a powerful presence of terpenoids, that are believed to facilitate each the discount of silver ions and the long-term stability of the nanoparticles.

Sturdy Bioactivity

The crew additionally assessed the organic properties of the Martynia annua-derived silver nanoparticles to evaluate their therapeutic potential.

Antioxidant assays of the particles demonstrated robust free radical scavenging skill within the DPPH take a look at and substantial ferric lowering antioxidant energy, vital in counteracting oxidative stress. In diabetes, the place oxidative stress performs a major position within the onset and development of the sickness, that is significantly promising.

The nanoparticles inhibited α-amylase in enzymatic research, an enzyme liable for breaking down complicated carbohydrates into easy sugars. By limiting α-amylase exercise, the nanoparticles could assist scale back post-meal spikes in blood glucose ranges. Additional, in cell-based experiments, they had been discovered to boost glucose uptake, indicating potential for enhancing glucose homeostasis in diabetic situations.

A Sustainable Path Ahead

Taken collectively, these outcomes display that the inexperienced synthesis of silver nanoparticles from Martynia annua roots is each possible and efficient, producing steady, well-defined particles with robust antioxidant properties. The mix of beneficial physicochemical attributes, akin to acceptable measurement, form, floor cost, and stability, with measurable organic advantages suggests these plant-derived nanoparticles might contribute to new therapeutic methods.

With rising demand for environmentally accountable nanotechnology, such plant-mediated strategies might assist to strike a steadiness between sustainable manufacturing and high-performance biomedical supplies.

Journal Reference

Abbigeri M.B., et al. (2025). Inexperienced synthesis of silver nanoparticles from Martynia annua: characterization and bioactivity. Nano TransMed, 4, 100070. DOI: 10.1016/j.ntm.2025.100070, https://www.sciencedirect.com/science/article/pii/S2790676025000019

The best way to get a Share Extension engaged on Maui iOS


For the previous few months I have been porting my app from Xamarin to Maui for iOS on Mac. It has been extremely troublesome, largely as a result of instruments failing or not working as marketed.

Proper now I feel I am on the house straight however I am dealing with what appears to be the hardest drawback of all.

My app has a Shared Extension that works in debug mode, however not in launch mode. When working in launch mode (which takes round 20-30 min to compile), after I click on on the my app’s icon within the shared apps panel, the panel goes gray momentarily earlier than returning to its regular color, however the view that I’ve created would not seem.

I am unsure the place to go along with this.

  • Breakpoints will not work as a result of it isn’t debug and even in debug mode they do not work in extensions
  • I’ve double checked provisioning and it is all right (precisely the identical as what I used to be utilizing for Xamarin)
  • I’ve checked my entitlements, share teams and bundle names, all are right
  • I’ve tried setting debug remarks to the clipboard, however SharedExtensions do not assist clipboard entry

Provided that it really works in debug and works in manufacturing in Xamarin, I am assuming it is a configuration drawback fairly than a code drawback. As such the next recordsdata could also be accountable (?):

Right here is the Major app csproj:



    
        
        net9.0-ios 
   
        Exe
        MyApp
        true
        true
        allow
        allow

        
        MyApp

        
        com.MyApp.MyApp

        
        1.0
        1

        12.2
        13.1
        21.0
        10.0.17763.0
        10.0.17763.0
        6.5
        
        
    

    
        
            true
            false
        
    

    ...
    ...
    ...
    ...
    ...


Right here is the ShareExtension csproj:


  
    net9.0-ios
    Library
    com.MyCompany.MyApp.ShareExtension
    allow
    true
    13.0

        true
    
    full
  

  
      true
      false
  

  
    Apple Improvement: Created by way of API (XXXXXXXXXX)
    VS: com.MyCompany.MyApp.ShareExtension Improvement
  


Right here is the Major app information.plist:





    UIDeviceFamily
    
        1
        2
    
    UISupportedInterfaceOrientations
    
        UIInterfaceOrientationPortrait
        UIInterfaceOrientationLandscapeLeft
        UIInterfaceOrientationLandscapeRight
    
    UISupportedInterfaceOrientations~ipad
    
        UIInterfaceOrientationPortrait
        UIInterfaceOrientationPortraitUpsideDown
        UIInterfaceOrientationLandscapeLeft
        UIInterfaceOrientationLandscapeRight
    
    MinimumOSVersion
    12.2
    CFBundleDisplayName
    MyApp
    CFBundleIdentifier
    com.MyCompany.MyApp
    CFBundleName
    MyApp
    XSAppIconAssets
    Belongings.xcassets/appicon.appiconset
    UILaunchStoryboardName
    LaunchScreen
    UIViewControllerBasedStatusBarAppearance
    
    NSExtensionPointIdentifier
    com.apple.share-services
    CFBundleURLTypes
    
        
            CFBundleURLName
            com.MyCompany.MyApp
            CFBundleURLSchemes
            
                shareto
            
            CFBundleTypeRole
            None
        
    
    NSAppleMusicUsageDescription
    Choose audio file for sheet
    NSMicrophoneUsageDescription
    Report audio loop
    UIBackgroundModes
    
        audio
    
    CFBundleShortVersionString
    1.0.001
    CFBundleVersion
    1
    ITSAppUsesNonExemptEncryption
    
    UIFileSharingEnabled
    


Right here is the Share Extension information.plist:




    
        CFBundleDevelopmentRegion
        en
        CFBundleDisplayName
        MyApp
        CFBundleIdentifier
        com.MyCompany.MyApp.ShareExtension
        CFBundleInfoDictionaryVersion
        6.0
        CFBundleName
        com.MyCompany.MyApp.ShareExtension
        CFBundlePackageType
        XPC!
        CFBundleSignature
        ????
        MinimumOSVersion
        13.0
        NSExtension
        
            NSExtensionAttributes
            
                NSExtensionActivationRule
                
                    NSExtensionActivationSupportsFileWithMaxCount
                    1
                    NSExtensionActivationSupportsImageWithMaxCount
                    1
                    NSExtensionActivationSupportsMovieWithMaxCount
                    0
                    NSExtensionActivationSupportsText
                    
                    NSExtensionActivationSupportsWebURLWithMaxCount
                    1
                
            
            NSExtensionPrincipalClass
            CodeBasedViewController
            NSExtensionPointIdentifier
            com.apple.share-services
        
        CFBundleURLTypes
        
            
                CFBundleURLName
                URL Kind 1
                CFBundleTypeRole
                Editor
            
        
        CFBundleShortVersionString
        1.0.001
        ITSAppUsesNonExemptEncryption
        
        CFBundleVersion
        001
    

What can I do to debug this? It is an extremely troublesome drawback to resolve, particularly given the 20-30 min compile occasions which suggests I can solely check out 2 or 3 completely different trouble-shooting makes an attempt per hour, making it exhausting to make significant progress.

Any concepts could be a lot appreciated.

android – Points with displaying pop up for location permission in iOS


In my Flutter challenge, I’m utilizing a lib permission_handler for permissions.

I’m going through points with displaying popup dialogue whereas requesting permission for location. My code is as follows:

Future _requestLocationPermission() async {
    // Test if location providers are enabled
    bool serviceEnabled = await Geolocator.isLocationServiceEnabled();
    if (!serviceEnabled) {
      // Location providers aren't enabled
      return;
    }
    
    PermissionStatus standing = await Permission.location.request();
    // Step 2: Test permission standing
    //PermissionStatus standing = await Permission.location.standing;
    if (standing.isGranted) {
      print("Permission granted");
      _getCurrentLocation();
    } else if (standing.isDenied) {
      print("Permission denied");
    } else if (standing.isPermanentlyDenied) {
      print("Permission Completely denied");
    }
  }

And because it was steered as prerequisite like, some traces must be included in information.plist file that are as:

NSLocationWhenInUseUsageDescription
This app wants location entry whereas utilizing the app.

NSLocationAlwaysUsageDescription
This app wants location entry always.

NSLocationAlwaysAndWhenInUseUsageDescription
This app wants location entry at all times and when in use.

UIBackgroundModes

  location

And in xcode, Runner -> signing and capabilities -> I checked Location Updates underneath Background Modes

After doing these above issues, I used to be unable to open permission popup for location.

I analysis and obtained an answer on stack overflow at https://stackoverflow.com/a/68600411/5034193
which tells that, Permissions on iOS are disabled by default, and you’ve got the set the proper GCC_PREPROCESSOR_DEFINITIONS in you Podfile.

It steered traces for nearly all permissions however I picked solely the road for location which was ‘PERMISSION_LOCATION=1’, and didn’t write for different permissions. As a result of different permissions like permission for storage, notification and so on.. are working tremendous.

After doing this it begins opening popup for location permission.

However the query is why it’s not required to switch the Podfile for different permissions like storage and notification and so on however Location.

Does It require any settings in apple developer app retailer join or any the place to keep away from modifying the Podfile?

And another doubt, aside from this as:
when it opens dialogue and on Do not enable it goes into standing.isPermanentlyDenied however within the case of Android It goes into standing.isDenied
Why it’s not uniform for each, Android and iOS?

ios – Flutter scheduled (time-based) notifications don’t hearth on Android — fast notifications work


I’m constructing my first Flutter app for Android and iOS and I’m caught with scheduled notifications on Android.

  • What works: fast notifications (present(…)) show high quality after the consumer allows notifications.
  • What doesn’t: time-based (scheduled/weekly) notifications by no means hearth on the chosen weekday & time.
  • Permissions: On Android, the app asks for notification permission and I’ve additionally enabled Alarms & reminders (Schedule actual alarms) in system settings. Each are ON.

Surroundings

  • flutter_local_notifications: ^19.4.0
  • timezone: ^0.10.1
  • flutter_timezone: ^4.1.1
  • Gadget(s): [Android Studio + Medium Device API 36, Samsung Galaxy S23 + Android 15

What I expect
When the user picks a weekday and time (e.g., Monday at 09:00), a notification should appear then, and repeat weekly.

What actually happens
Nothing fires at the scheduled time. No crashes. Immediate notifications using the same channel work reliably.

Code:
Settings_Screen

import 'package:my_app/config/notifications.dart';

 // --- Notifications ---
          const Divider(height: 32),
          SwitchListTile(
            title: const Text('Benachrichtigungen aktivieren'),
            value: _notifEnabled,
            onChanged: _toggleNotifications,
          ),

          if (_notifEnabled) ...[
            _buildExactStatusTile(), // neu

            const SizedBox(height: 8),
            const Text('Wochentag', style: TextStyle(fontWeight: FontWeight.bold)),
            Wrap(
              spacing: 8,
              children: List.generate(7, (i) {
                final int day = i + 1; // 1=Mo ... 7=So
                const labels = ['Mo','Di','Mi','Do','Fr','Sa','So'];
                return ChoiceChip(
                  label: Textual content(labels[i]),
                  chosen: _notifWeekday == day,
                  onSelected: (_) async {
                    setState(() => _notifWeekday = day);
                    await _persistNotificationPrefs();
                    await _applyNotificationSchedule();
                  },
                );
              }),
            ),

            const SizedBox(top: 16),
            ListTile(
              main: const Icon(Icons.access_time),
              title: Textual content(
                _notifTime == null
                    ? 'Uhrzeit auswählen'
                    : 'Uhrzeit: ${_notifTime!.format(context)}',
              ),
              onTap: _pickNotificationTime,
            ),

            if (_notifWeekday == null || _notifTime == null)
              const Padding(
                padding: EdgeInsets.solely(prime: 8),
                baby: Textual content(
                  'Hinweis: Bitte Wochentag und Uhrzeit wählen, damit die Erinnerung geplant wird.',
                  model: TextStyle(coloration: Colours.gray),
                ),
              ),
          ],
        ],
      ),

notifications

import 'bundle:flutter_local_notifications/flutter_local_notifications.dart';
import 'bundle:timezone/timezone.dart' as tz;
import 'bundle:flutter_timezone/flutter_timezone.dart';
import 'bundle:timezone/information/latest_all.dart' as tzdata;

static tz.TZDateTime _nextWeekdayTime({
    required int weekday, 
    required int hour,
    required int minute,
    Length grace = const Length(seconds: 30),
  }) {
    ultimate now = tz.TZDateTime.now(tz.native);
    ultimate todayAt = tz.TZDateTime(tz.native, now.12 months, now.month, now.day, hour, minute);
    ultimate daysUntil = (weekday - now.weekday) % 7;
    var scheduled = todayAt.add(Length(days: daysUntil));
    if (scheduled.isBefore(now.add(grace))) {
      scheduled = scheduled.add(const Length(days: 7));
    }
    return scheduled;
  }

  static Future scheduleWeekly({
    required int id,
    required String title,
    required String physique,
    required int weekday,
    required int hour,
    required int minute,
    String? payload,
  }) async {
    ultimate when = _nextWeekdayTime(weekday: weekday, hour: hour, minute: minute);
    ultimate mode = await _pickAndroidScheduleMode();

most important

import 'bundle:timezone/information/latest_all.dart' as tz;
import 'bundle:timezone/timezone.dart' as tz;
import 'bundle:flutter_timezone/flutter_timezone.dart';
import 'bundle:my_app/config/notifications.dart' present NotificationsService;

void most important() async {
  WidgetsFlutterBinding.ensureInitialized();
  tz.initializeTimeZones();
  ultimate identify = await FlutterTimezone.getLocalTimezone(); // "Europe/Berlin" and so on.
  tz.setLocalLocation(tz.getLocation(identify));
  await NotificationsService.init();

AndroidManifest

    
    
    
    

What I’ve tried

  • Confirmed Notifications permission is granted (Android 13+).

  • Enabled Alarms & reminders (Schedule actual alarms) in system settings (Android 12+).

  • Examined with androidAllowWhileIdle: true.

  • Verified the channel just isn’t blocked and significance is max.

  • Disabled battery optimizations for the app.

  • Examined on emulator and bodily machine.

  • Double-checked that the computed scheduled time is sooner or later and has the proper weekday.

  • Confirmed Notifications permission is granted (Android 13+).

  • Enabled Alarms & reminders (Schedule actual alarms) in system settings (Android 12+).

  • Examined with androidAllowWhileIdle: true.

  • Verified the channel just isn’t blocked and significance is max.

  • Disabled battery optimizations for the app.

  • Examined on emulator and bodily machine.

  • Double-checked that the computed scheduled time is sooner or later and has the proper weekday.

An AI ‘Nerd Knob’ Each Community Engineer Ought to Know


Alright, my associates, I’m again with one other publish based mostly on my learnings and exploration of AI and the way it’ll match into our work as community engineers. In right now’s publish, I wish to share the primary (of what is going to seemingly be many) “nerd knobs” that I feel all of us ought to concentrate on and the way they are going to affect our use of AI and AI instruments. I can already sense the thrill within the room. In any case, there’s not a lot a community engineer likes greater than tweaking a nerd knob within the community to fine-tune efficiency. And that’s precisely what we’ll be doing right here. High quality-tuning our AI instruments to assist us be simpler.

First up, the requisite disclaimer or two.

  1. There are SO MANY nerd knobs in AI. (Shocker, I do know.) So, should you all like this sort of weblog publish, I’d be completely satisfied to return in different posts the place we have a look at different “knobs” and settings in AI and the way they work. Properly, I’d be completely satisfied to return as soon as I perceive them, no less than. 🙂
  2. Altering any of the settings in your AI instruments can have dramatic results on outcomes. This consists of rising the useful resource consumption of the AI mannequin, in addition to rising hallucinations and reducing the accuracy of the data that comes again out of your prompts. Think about yourselves warned. As with all issues AI, go forth and discover and experiment. However achieve this in a protected, lab surroundings.

For right now’s experiment, I’m as soon as once more utilizing LMStudio operating regionally on my laptop computer relatively than a public or cloud-hosted AI mannequin. For extra particulars on why I like LMStudio, take a look at my final weblog, Making a NetAI Playground for Agentic AI Experimentation.

Sufficient of the setup, let’s get into it!

The affect of working reminiscence dimension, a.ok.a. “context”

Let me set a scene for you.

You’re in the midst of troubleshooting a community subject. Somebody reported, or seen, instability at a degree in your community, and also you’ve been assigned the joyful job of attending to the underside of it. You captured some logs and related debug info, and the time has come to undergo all of it to determine what it means. However you’ve additionally been utilizing AI instruments to be extra productive, 10x your work, impress your boss, you recognize all of the issues which might be occurring proper now.

So, you resolve to see if AI can assist you’re employed by way of the info sooner and get to the basis of the difficulty.

You fireplace up your native AI assistant. (Sure, native—as a result of who is aware of what’s within the debug messages? Finest to maintain all of it protected in your laptop computer.)

You inform it what you’re as much as, and paste within the log messages.

Asking an AI assistant to help debug a network issue.Asking an AI assistant to help debug a network issue.
Asking AI to help with troubleshooting

After getting 120 or so traces of logs into the chat, you hit enter, kick up your ft, attain in your Arnold Palmer for a refreshing drink, and await the AI magic to occur. However earlier than you may take a sip of that iced tea and lemonade goodness, you see this has instantly popped up on the display screen:

AI Failure! Context length issueAI Failure! Context length issue
AI Failure! “The AI has nothing to say”

Oh my.

“The AI has nothing to say.”!?! How might that be?

Did you discover a query so tough that AI can’t deal with it?

No, that’s not the issue. Try the useful error message that LMStudio has kicked again:

“Attempting to maintain the primary 4994 tokens when context the overflows. Nonetheless, the mannequin is loaded with context size of solely 4096 tokens, which isn’t sufficient. Attempt to load the mannequin with a bigger context size, or present shorter enter.”

And we’ve gotten to the basis of this completely scripted storyline and demonstration. Each AI instrument on the market has a restrict to how a lot “working reminiscence” it has. The technical time period for this working reminiscence is “context size.” Should you attempt to ship extra information to an AI instrument than can match into the context size, you’ll hit this error, or one thing prefer it.

The error message signifies that the mannequin was “loaded with context size of solely 4096 tokens.” What’s a “token,” you surprise? Answering that might be a subject of a completely totally different weblog publish, however for now, simply know that “tokens” are the unit of dimension for the context size. And the very first thing that’s executed whenever you ship a immediate to an AI instrument is that the immediate is transformed into “tokens”.

So what can we do? Properly, the message provides us two potential choices: we are able to enhance the context size of the mannequin, or we are able to present shorter enter. Generally it isn’t an enormous deal to offer shorter enter. However different instances, like once we are coping with giant log recordsdata, that choice isn’t sensible—all the information is necessary.

Time to show the knob!

It’s that first choice, to load the mannequin with a bigger context size, that’s our nerd knob. Let’s flip it.

From inside LMStudio, head over to “My Fashions” and click on to open up the configuration settings interface for the mannequin.

Accessing Model SettingsAccessing Model Settings
Accessing Mannequin Settings

You’ll get an opportunity to view all of the knobs that AI fashions have. And as I discussed, there are a number of them.

Default configuration settingsDefault configuration settings
Default configuration settings

However the one we care about proper now’s the Context Size. We are able to see that the default size for this mannequin is 4096 tokens. However it helps as much as 8192 tokens. Let’s max it out!

Maxing out the Context LengthMaxing out the Context Length
Maxing out the Context Size

LMStudio supplies a useful warning and possible purpose for why the mannequin doesn’t default to the max. The context size takes reminiscence and assets. And elevating it to “a excessive worth” can affect efficiency and utilization. So if this mannequin had a max size of 40,960 tokens (the Qwen3 mannequin I exploit typically has that prime of a max), you won’t wish to simply max it out immediately. As an alternative, enhance it by a bit at a time to seek out the candy spot: a context size large enough for the job, however not outsized.

As community engineers, we’re used to fine-tuning knobs for timers, body sizes, and so many different issues. That is proper up our alley!

When you’ve up to date your context size, you’ll must “Eject” and “Reload” the mannequin for the setting to take impact. However as soon as that’s executed, it’s time to benefit from the change we’ve made!

The extra context length allows the AI to analyze the dataThe extra context length allows the AI to analyze the data
AI absolutely analyzes the logs

And have a look at that, with the bigger context window, the AI assistant was capable of undergo the logs and provides us a pleasant write-up about what they present.

I notably just like the shade it threw my method: “…take into account searching for help from … a certified community engineer.” Properly performed, AI. Properly performed.

However bruised ego apart, we are able to proceed the AI assisted troubleshooting with one thing like this.

AI helps put a timeline of the problem togetherAI helps put a timeline of the problem together
The AI Assistant places a timeline collectively

And we’re off to the races. We’ve been capable of leverage our AI assistant to:

  1. Course of a major quantity of log and debug information to establish potential points
  2. Develop a timeline of the issue (that can be tremendous helpful within the assist desk ticket and root trigger evaluation paperwork)
  3. Determine some subsequent steps we are able to do in our troubleshooting efforts.

All tales should finish…

And so you might have it, our first AI Nerd Knob—Context Size. Let’s evaluation what we realized:

  1. AI fashions have a “working reminiscence” that’s known as “context size.”
  2. Context Size is measured in “tokens.”
  3. Oftentimes instances an AI mannequin will assist a better context size than the default setting.
  4. Rising the context size would require extra assets, so make modifications slowly, don’t simply max it out fully.

Now, relying on what AI instrument you’re utilizing, chances are you’ll NOT be capable of alter the context size. Should you’re utilizing a public AI like ChatGPT, Gemini, or Claude, the context size will rely on the subscription and fashions you might have entry to. Nonetheless, there most positively IS a context size that can issue into how a lot “working reminiscence” the AI instrument has. And being conscious of that reality, and its affect on how you need to use AI, is necessary. Even when the knob in query is behind a lock and key. 🙂

Should you loved this look below the hood of AI and wish to find out about extra choices, please let me know within the feedback: Do you might have a favourite “knob” you want to show? Share it with all of us. Till subsequent time!

PS… Should you’d prefer to study extra about utilizing LMStudio, my buddy Jason Belk put a free tutorial collectively known as Run Your Personal LLM Regionally For Free and with Ease that may get you began in a short time. Test it out!

 

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Learn subsequent:

Making a NetAI Playground for Agentic AI Experimentation

Take an AI Break and Let the Agent Heal the Community

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