bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital twin dialogues on regional development - an interpretative text conversation between humans and chatbots
Authors: Nijkamp Peter , Kourtit Karima
Published: January 2025

This paper presents a controlled AI-experiment investigating text interpretation in the context of the regional development literature. With the rapid advancement of digital technology applications, text interpretation and generation have become increasingly prevalent, offering profound implications for scientific research in the social sciences, including regional science. Our study seeks to explore commonalities and disparities in textual summaries of previously published material in the domain of the regional development literature, employing a trial study approach on a given recent publication on regional competitiveness so as to compare human-made and machine-made (chatbot) summary texts. We adopt two distinct guiding principles for narrative textual interpretation: a methodological perspective and a normative framing of content. This leads to different types of summaries. Next, through subsequent digital text analysis methods, viz human-based interpretative analysis, content cloud analysis and frequency analysis, we analyze and compare the outcomes of this experiment. The results of our text analysis were finally also assessed by a small expert panel. Our findings reveal notable differences between human-made and machine-made summaries, showcasing variations in writing style, substantive content, perceived meanings, and reader interpretations. These discrepancies are also influenced by the above-mentioned methodological perspective and normative framing that are applied to the scientific publication concerned. In general, our comparison highlights that while human-made texts tend to be more content-rich, machine-made texts exhibit greater richness in form and coverage. Our results suggest that such contrasting differences offer a mutually complementary value in text interpretation. This study contributes to the understanding of text interpretation processes and sheds also light on the evolving dynamics between human and machine-generated interpretations in the academic discourse on regional development.
Desarrollo y estado actual del mercado de la Estimulación Cerebral Profunda para el tratamiento de la enfermedad de Parkinson en la Argentina.
Authors: Piedimonte Fabián
Published: January 2025

El objeto de análisis de este trabajo consiste en la evaluación del mercado de la terapia de estimulación cerebral profunda (DBS por sus siglas en inglés), para el control de los síntomas en los pacientes con enfermedad de Parkinson en Argentina, y su evolución en el tiempo.
Müller geht online neue Wege
Authors: Brändlein Philip
Published: January 2025

Die Drogerie Müller will sich nicht weiter anschauen, wie die Konkurrenz Online-Umsätze unter sich verteilt. Mit einem neuen Webshop geht das Unternehmen einen großen Schritt nach vorne.
Aldi liefert im Picnic-Hotspot
Authors: Schulz Hans-Jürgen , Brändlein Philip
Published: January 2025

Aldi Süd liefert in einem weiteren Gebiet Lebensmittel direkt aus. In Mönchengladbach tritt der Discounter dort an, wo Picnic besonders stark ist. Der Start zum Rollout ist das nicht. Aldi spricht weiter von einem zeitlich begrenzten Test.
Migros-Tiefpreise steigern den Absatz
Authors: Stockburger Manfred
Published: January 2025

Zwischen Effizienz und Anmutung sucht die Migros Supermarkt AG das richtige Konzept für die Filialen. CEO Peter Diethelm sieht dabei erste Erfolge.
Kosmetikhersteller Sodalis wächst mit Zukäufen
Authors: Ingelmann Anja
Published: January 2025

Die italienische Sodalis Group will den Umsatz 2025 auf über 1 Mrd. Euro steigern. Neben den zugekauften Firmen Lornamead und Artdeco ist das Unternehmen an weiteren Übernahmen interessiert.
Mit diesen Produkten punkten Food-Startups
Authors: Adelhardt Andrea
Published: January 2025

Bei Plant-based-Produkten geht es Herstellern immer mehr darum, die Rezepturen zu verbessern. Junge Unternehmen, die sich auf alternative Inhaltsstoffe spezialisieren, stehen dabei als Kooperationspartner hoch im Kurs.
„Ungutes Gemisch“
Authors: Nissen Madeleine
Published: January 2025

Chefvolkswirt Jens Ulbrich spricht über den trüben Konjunkturausblick der Bundesbank, die unsicheren Verbraucher und die dringlichsten Aufgaben der künftigen Bundesregierung.
Scharfe Schlotte
Authors: Krönert Alrun
Published: January 2025

Sie ist das erste Frischgemüse, das aus deutschem Freilandanbau in den Handel gelangt und dort die importierte Winterware ablöst: die Frühlingszwiebel. Ihr Anbau erfordert viel Handarbeit und ist kostenintensiv. Dennoch kann die deutsche Produktion in vielerlei Hinsicht punkten. Alrun Krönert
„Lust auf Frische“
Authors: Krönert Alrun
Published: January 2025

Reinhard Oerther, für den Vertrieb zuständiger Vorstand bei Pfalzmarkt, über die Vorzüge saisonalen Einkaufs.
Zwischen Extremwetter und globaler Anpassung
Authors: Hubert Wolfgang
Published: January 2025

Nach einem zeitweiligen Engpass bei Zitrusfrüchten durch den Starkregen im Süden Spaniens hat sich die Marktsituation bei Orangen längst wieder entspannt. Doch die Folgen des Klimawandels bereiten Handel und Erzeugern zunehmend Sorgen. Wolfgang Hubert
Amazon ordert 200 Elektro-Lkw
Authors: Bökamp Lena
Published: January 2025

Amazon treibt die Elektrifizierung der Flotte weiter voran und will für den Warentransport künftig vermehrt E-Lkw nutzen. Dafür hat der Konzern nun 200 schwere E-Laster mit hoher Reichweite bei Daimler Truck bestellt.
Fairtrade ruft den „Fairbruary“ aus
Authors: Nusser Bernd
Published: January 2025

Die Sozialinitiative Fairtrade nutzt den Februar für eine umfangreiche Kampagne. Außenwerbung und Aktivitäten auf den Social-Media-Plattformen sollen für enorme Reichweite sorgen.
Arbeitsmarkt spaltet sich
Authors: Wittenhagen Julia
Published: January 2025

Die langwierige Suche nach Fachkräften und massenhafter Stellenabbau passieren in Deutschland gerade gleichzeitig. Was das für den Handel bedeutet, hat die LZ einige große Player gefragt und Experten der Jobplattform Indeed.
Incidence and Associated Factors of Sudden Death in Kebbi State, Nigeria
Authors: Oduola Dr. Taofik Kolawole , Adeyemi Dr Ademola James , Musa Dr Rege Ganya , Kolawole Oluwaseun Peace , Adetoun Barakat Akinade , Adeyemi Kolawole Shola
Published: January 2025

Abstract: Sudden death (SD), defined by the World Health Organization as a natural, non-violent death occurring within 24 hours of an abrupt change in clinical status, remains a critical public health issue, particularly in low-resource settings. This study assesses the incidence and associated factors of SD in Kebbi State, Nigeria, where data on the condition is scarce. A retrospective review of 3,624 medical records from 2018–2020 and interviews with 100 health personnel were conducted. Results indicated an SD incidence of 20.1%, with a peak in the 41–60 age group and a male-to-female ratio of 1.79:1. Cardiovascular diseases (44.4%) were the leading cause, followed by respiratory-related disorders (13.8%) and infectious diseases (11.12%). Hypertension was the most common risk factor, contributing to 47% of cases, while other significant factors included pulmonary embolism, asthma, and diabetes mellitus. Health personnel displayed inadequate knowledge regarding SD-related activities, underscoring the need for targeted training. Findings suggest that SD is prevalent in Kebbi State, with non-communicable diseases (NCDs) playing a prominent role in its etiology. Strengthening health system capacity and increasing NCD prevention efforts, especially for hypertension, are essential to reducing the SD burden in Kebbi State.
An Assay on the Reasons and Awareness of Consequences of Abortion among Women of Childbearing Age in Chanchaga, Bosso Local Government Area, Niger State, Nigeria
Authors: ADEJOH Petergerard Akumabi , SAWYERR Henry Olawale
Published: January 2025

Abortion is a simple health care intervention that can be effectively managed by a wide range of health workers using medication or a surgical procedure. Comprehensive abortion care is included in the list of essential health care services published by WHO in 2020. Unsafe abortion has significant negative consequences beyond its immediate effects on women health which include infertility and economic burden on the family. Women who develop complications after unsafe abortion may experience a variety of symptoms like vaginal bleeding, fever, abdominal pain, cramping and foul-smelling vaginal discharge, septic shock, anemia, uterine perforation, infection and cervical damage. The objectives are: To assess the causes of abortion among women of child bearing age; to assess the awareness of women of child bearing age on the consequences of abortion; to investigate specific reasons why women, resort to abortion. 100 copies of questionnaires were distributed to women of childbearing age and 85 copies were retrieved up on which the analysis was conducted. The study shows that the women had abortions as a result of various causes ranging from mother’s ill health, fetal abnormalities, use of drugs, stress/fear and malnutrition. The study also revealed that the awareness on the consequences of induced or unsafe abortion is low. Equally, the childbearing age women under study gave different reasons for involving in abortion which include; to stop child bearing, to postpone child bearing, fear of parents, poverty, schooling, too young for pregnancy and advice by the physician. It is obvious that the research identified that abortion is carried out among women of child bearing age regardless of their educational status, marital status and level of exposure to the consequences of the unsafe abortion. The researcher recommends the following: Married couple should engage in family planning to prevent unwanted pregnancy; The married women should be advised to be faithful to their partners to avoid unwanted pregnancy which may results in aborting the pregnancy; Parents should be friendly with their children and teach them sex education with morals; Pregnant women should reduce unnecessary stress; More awareness campaign to enlighten the women of childbearing age on the causes and consequences of unsafe abortion.
Media framing of presidential candidates in Kenya's 2022 general election: Analysing coverage patterns in the Daily Nation and the Standard Newspapers
Authors: Torotwa Ezer
Published: January 2025

This research investigates the media framing of presidential candidates in Kenya during the 2022 General Election, paying attention to both The Daily Nation and The Standard as representatives of the Kenyan media. Given the centrality of policy debates to political coverage, coverage of policy issues was in the minority according to the quantitative elements of the media monitoring exercises, with horse race reporting dominant at 68 per cent of the sample with policy issues figuring at 32 per cent. More precisely, The Standard posted 400 horse race articles and 200 policy-related ones, while The Daily Nation provided 350 and 150, respectively. This skewed the voting outcome towards two horse race candidates, leaving little space for others such as George Wajackoyah and David Waihiga Mwaure and analysing the narrative approach of framing theory depicting William Ruto and Raila Odinga as polarisation and side-lining of policies. These observations bear implications for the phenomenon of electoral debate and voter decision-making, in particular, its depth. They also recommend that media houses increase reports on all the candidates and provide training to enlighten the journalists on framing the situation so that there is as much competition focus as there is policy discussion emphasis. This approach would lead to increased and qualitatively higher levels of electoral debate and democratic participation by voters as they can make informed decisions.
A IMPORTÂNCIA DO APOIO PSICOPEDAGÓGICO PARA ALUNOS COM DIFICULDADES DE APRENDIZAGEM
Authors: Menezes Michely Queiroz de Lima , Pareschi  Sheila Costa Silva , Da Silva Elizabeth Mônica , Rodrigues Elanir Menezes , Lopes Keszia Luzia Colares , Costa Eduardo da Silva , Vieira Zenilda Seixas , De Castilhos Carolina Soares , De Sales Sâmila Saraiva , Silva Eliane Antão Albuquerque , Vidal Ayanna Rosely de Oliveira
Published: January 2025

Psychopedagogical support is essential to identify and intervene in learning difficulties faced bystudents in different educational contexts. These difficulties can arise from cognitive, emotional,social or environmental factors, requiring a specialized approach that promotes the developmentof skills and contributes to overcoming academic and social barriers. Acting in a multidisciplinarymanner, psychopedagogical support integrates teachers, families and health professionals,favoring personalized strategies that meet the specific needs of students. Thus, this support notonly improves academic performance, but also promotes educational inclusion, reinforcing therole of a welcoming and inclusive school. This study seeks to analyze the relevance ofpsychopedagogical support in the development of effective strategies to overcome learningdifficulties. The general objective is to understand how this approach can transform the schoolexperience of students, while the specific objectives include identifying factors that influencethese difficulties, investigating personalized psychopedagogical practices, evaluating the benefitsfor inclusion and academic performance and proposing strategies that strengthen collaborationbetween school, family and psychopedagogues. The research will be conducted through abibliographic analysis, involving theories, scientific studies and academic materials related to thetopic. This method will allow an in-depth understanding of the role of psychopedagogical supportand the most effective practices to meet students' demands. By highlighting the importance ofthis approach, the study emphasizes the need for integrated and accessible strategies, promotingthe academic, social and emotional development of students, in addition to contributing to a moreinclusive and humanized education.
Saf Ses Odyometri ve Temel Kurallar
Authors:   Koç Üniversitesi Hastanesi Kulak Burun Boğaz Anabilim Dalı Odyoloji Bölümü, İstanbul, Türkiye, Deniz Rışvan , Acar Melda ,   İstanbul Üniversitesi-Cerrahpaşa, Sağlık Bilimleri Fakültesi, Odyoloji Bölümü, İstanbul, Türkiye
Published: January 2025

Saf ses işitme testi, odyolojik değerlendirmede kritik bir araçtır ve işitme kaybının teşhisinde
önemli bir rol oynar. Bu test, bireylerin farklı frekans ve şiddetteki sesleri ne kadar duyabildiklerini ölçmeyi amaçlar. Test, odyometre aracılığıyla gerçekleştirilir ve testin temel aşamaları arasında, hastanın kulaklık takarak farklı ses seviyelerini dinlemesi ve duyduğu sesleri belirtmesi
yer alır. Bu işlem, genellikle hava iletimi ve kemik iletimi yöntemleri kullanılarak gerçekleştirilir.
Hava iletimi, normal işitme yollarını kullanırken, kemik iletimi sesi kafatası aracılığıyla doğrudan
iç kulağa iletmektedir. Odyolojik açıdan, saf ses işitme testinin en büyük önemi, işitme kaybının
türünü ve derecesini belirlemesidir. İşitme kaybı, sıkça karşılaşılan bir durum olmasına rağmen,
bireyler arasında farklı şekilde kendini gösterebilir. Bu test ile işitme kaybının tipinin belirlenmesine olanak tanır. Ayrıca, test sonuçları, işitme kaybının zamanla nasıl değiştiğini izlemek
için de kullanılır. Odyologlar, sıklıkla yapılan testlerle işitme seviyelerini takip ederek, hastanın
tedaviye yanıtını değerlendirebilir ve gerektiğinde müdahale planlarını güncelleyebilirler. Özellikle çocuklarda erken teşhis, dil gelişimi ve sosyal etkileşim açısından büyük önem taşır. İşitme
kaybı olan çocuklar, gecikmiş dil ve iletişim becerileri gibi sorunlar yaşayabilir; bu nedenle, saf
ses işitme testi, erken yaşta müdahale için temel bir kaynak sunar. Saf ses işitme testi, bireylerin
işitme sağlığını değerlendirmek, sorunları teşhis etmek ve tedavi planlarını şekillendirmek için
vazgeçilmez bir odyolojik araçtır. Hem çocuklar hem de yetişkinler için işitme problemlerinin
yönetiminde kritik bir öneme sahiptir.
Vestibüler Sistemin Değerlendirilmesi
Authors:   İstanbul Üniversitesi-Cerrahpaşa, Sağlık Bilimleri Fakültesi, Odyoloji Bölümü, Odyoloji Ana Bilim Dalı, İstanbul, Türkiye, Oruç Yeşim
Published: January 2025

İnsanların çevreyle güvenli ve yeterli bir şekilde etkileşimlerini sağlamak, denge sisteminin temel rolüdür. Dengenin korunması için gereken bilgiler birçok duyusal sistem tarafından sağlanmaktadır. Vizüel, somatosensör ve vestibüler sistem başlıca görevli olan üç sistemdir. Bu
nedenle denge bozukluklarının değerlendirilmesi karmaşık ve multidisipliner yaklaşımı gerektirmektedir. Baş dönmesi şikayeti genel popülasyondaki kişilerin %20-30'unu etkileyen, en
yaygın şikayetler arasındadır. Baş dönmesinin en sık görülen nedenleri periferik vestibüler bozukluklardır. Hastalarda öncelikle santral-periferik etiyolojinin ayırt edilmesi gereklidir. Ayırıcı
tanıya giden süreçlerde detaylı bir anamnez değerlendirmenin ilk basamağını oluşturmaktadır.
Değerlendirme sürecini yatak başı muayene yöntemleri ve laboratuvar testleri izlemektedir. Bu
bölümün içeriğinde yatak başı muayene yöntemleri, vestibüler testler ve sonuçların yorumlanması yer almaktadır. Bütüncül bir yaklaşım oluşturarak vestibüler sistemin değerlendirmesine
yönelik bilgiler bölümde bulunmaktadır.
Fungal Colonization in Urinary Catheters: Pathophysiology and Clinical Implication
Authors: Subianto Sintia Pratiwi , Endraswari Pepy Dwi
Published: January 2025

Fungal colonization in urinary catheters is an emerging concern in clinical practice, particularly due to its association with catheter-associated urinary tract infections (CAUTIs). This literature review explores the pathophysiology of fungal colonization, with a focus on Candida species, particularly Candida albicans, which has become a significant uropathogen in patients with indwelling catheters. The review highlights how the catheter environment, characterized by mechanical trauma and inflammation, promotes fungal adherence and biofilm formation through mechanisms involving host proteins such as fibrinogen. The clinical implications of fungal colonization are profound, as it increases the risk of severe infections, particularly in immunocompromised patients. This review discusses various risk factors contributing to fungal colonization, including prolonged catheter use, underlying medical conditions such as diabetes, and the impact of broad-spectrum antibiotics on the normal flora. Furthermore, it addresses the diagnostic challenges posed by fungal infections, which are often overlooked due to a predominant focus on bacterial pathogens. To mitigate these risks, the review proposes several prevention and management strategies, including minimizing catheter use, employing aseptic techniques during insertion, and considering antifungal-coated catheters. By synthesizing current research findings, this review underscores the need for heightened awareness and improved management practices to address the growing challenge of fungal colonization in urinary catheters and its associated complications.
Enabling Learning of Programming through Educational Chatbot
Authors: Subramaniam Nantha Kumar
Published: January 2025

This research investigates the integration of AI-powered chatbots as transformative tools to enhance the teaching and learning of programming, specifically targeting Java programming in an open and distance learning (ODL) environment. The chatbot was conceptualized and developed using principles from constructivist, problem-based, and active learning theories to support a learner-centric approach. Designed to offer multimodal content, real-time feedback, and interactive problem-solving exercises, the chatbot aims to reduce cognitive load and facilitate a deeper understanding of complex programming concepts. The implementation involved deploying the chatbot in an online Java programming course over one semester, engaging 32 ODL learners in a blended learning mode. Learners utilized the chatbot for interactive, one-on-one tutoring sessions, benefiting from multimodal materials such as animations, visualizations, and interactive exercises. These resources supported learners in addressing challenging concepts and completing programming tasks, enhancing their engagement and comprehension. Evaluation was conducted through a structured survey using a 4-point Likert scale, capturing learner perceptions on the chatbot’s effectiveness. The findings revealed high levels of satisfaction, with learners highlighting the chatbot’s ability to provide learning support and its unique learning experience. The survey further underscored the chatbot’s role in alleviating cognitive load and bridging the gap between abstract programming theories and their practical applications. The study demonstrates the potential of AI-powered chatbots to transform programming education.
Vilnius kaip filmavimo aikštelė: 2011–2024 metais įvietintos kino gamybos poveikis miestovaizdžių kūrimui
Authors: Novickas Audrius
Published: January 2025

Pastarųjų dviejų dešimtmečių laikotarpiu Vilniuje filmuotų kino projektų skaičiaus augimas rodo miesto gebėjimą varžytis pasaulinėje rinkoje siūlant filmų statytojams vietas, pritaikomas įvairių scenarijų įvaizdinimui. Nepaisant Vilniaus erdvinių ir vaizdinių išteklių intensyvaus naudojimo kino gamyboje, pačios filmavimo aikštelės dėl jų laikinumo ir ribotos prieigos yra beveik nematomos. Šią vizualinę stoką sustiprina reiškinio kritinės refleksijos trūkumas, nes Vilniaus, kaip kitų pasaulio miestų kinematografinio dublerio, atvejis iki šiol netapo ir sistemingesnių tyrimų objektu. Šio straipsnio tikslas ir yra, pasitelkus įvietintos kino gamybos reikšmę vizualinei, sociokultūrinei miesto tapatybei atskleidžiančių tyrėjų analizės idėjas, ištirti Vilniaus filmavimo aikštelių poveikį miestovaizdžių kūrimui 2011–2024 metais. Tyrimo šaltiniai – nematerialūs bei materialūs kino pramonės pėdsakai: Vilniaus kino biuro ikonografinis archyvas, kino įkvėptos ekskursijos po miestą, filmavimus nušviečiantys pranešimai žiniasklaidoje, artefaktų ir scenografijų intervencijos miesto aplinkoje. Tyrimas parodė, jog filmavimo aikštelė yra veikėjų-aktantų sąveikos sistema, lemianti miesto regimybės ir įsivaizduojamybės kismą, taip pat ir pastangas paslėpti kino pramonės dalyvavimą miesto tapatybės fikcionalizavime. Vilniaus filmavimo aikštelių atvejų analizė atskleidė kinematografinio ir kasdieninio erdvės naudojimo, formos ir socialinės vertės nesutapimus, atveriančius jų santykio modeliavimo ir kaitos galimybes, skatinančias kino gamybos pėdsakų miesto architektūroje, vaizdinijoje ir kultūroje paiešką, kritinį permąstymą bei meninį rekonstravimą. Rekonstrukcijos principo svarba Vilniaus kaip kino aikštelės prasmių tyrimui pagrįsta ir autorinio meninio kūrinio – videofilmo „Vitrine Morte“ (2022) – pavyzdžiu.
A new method for large scale snow depth estimates using Sentinel-1 and ICESat-2
Authors: Meyer Rasmus , Schødt Mathias Preisler , Rasmussen Mikkel Lydholm , Andersen Jonas Kvist , Dømgaard Mads , Bjørk Anders Anker
Published: January 2025

Abstract. Knowledge about seasonal snow accumulation is important for managing water resources, but accurate estimates of snow depth at a high spatiotemporal resolution are sparse, especially in mountainous regions. In this paper, we outline a novel approach to estimate snow depths using Sentinel-1 C-band synthetic aperture radar (SAR) and ICESat-2 LiDAR observations. Specifically, we estimate snow depths at 500-meter spatial resolution by correlating increase in Sentinel-1 volume scattering with snow depths derived using ICESat-2. Sentinel-1’s vast spatial coverage and frequent 6/12-day revisit cycle makes it promising for monitoring seasonal snow accumulation, but capturing the volume scattering signal within a dry snowpack and relating it to snow depth remains challenging. Using ICESat-2, we retrieve thousands of high accuracy snow depth observations covering the Southern Norwegian Mountains. ICESat-2 has a low revisit time of three months, but by matching observations with the temporally nearest Sentinel-1 scene, we significantly enhance spatiotemporal resolution. Our results demonstrate that our ICESat-2 calibrated Sentinel-1 snow depths can estimate snowfall magnitudes in deep dry snow (>0.6 meters), achieving an accuracy of 0.5–0.7 meters, significantly improving estimates made by the SeNorge snow model in remote mountainous regions. This study highlights the potential of utilizing ICESat-2 to derive Sentinel-1 snow depths, improving snow monitoring capabilities in data-sparse regions.
Savanna ecosystem structure and productivity along a rainfall gradient: the role of competition and stress tolerance mediated by plant functional traits
Authors: Paudel Prashant , Olin Stefan , Tjoelker Mark , Pontarp Mikael , Metcalfe Daniel , Smith Benjamin
Published: January 2025

Abstract. Environmental gradients affect vegetation structure and ecosystem productivity. Along the northern Australia tropical transect (NATT), which transitions from tropical moist conditions in the north to arid conditions in the south, vegetation composition and structure are closely tied to rainfall patterns. We hypothesise that biotic competition and abiotic stress exhibit opposing patterns along the NATT rainfall gradient and aim to disentangle these effects on vegetation structure and productivity. Using a trait-based dynamic vegetation model, we simulated vegetation responses to varying competition and stress along the NATT. The model successfully simulated spatial variations and temporal patterns in carbon and water fluxes, where evapotranspiration and gross primary productivity decrease with rainfall along the gradient. Simulation results showed that taller and medium-sized Eucalyptus had higher carbon mass, leaf area index, and foliar projective cover at the wet end of the gradient. In contrast, Acacia and grasses were dominant at the dry end. Crown coverage shows spatial and temporal variability with rainfall, with higher variability in tree plant functional types (PFTs) crown cover in the north and more uniform in the south, while grasses have maximum coverage during the wet season in the dry end of the gradient. These patterns suggest a shift in the importance of biotic versus abiotic factors, with competition playing a more significant role in the wet region and stress becoming more influential as aridity increases in the south. Overall, our study underscores water availability as a primary driver of vegetation structure and highlights the role of competition and stress in modulating ecosystem structure, composition and productivity along the rainfall gradient.
Suppression of polarization random noise in a two-dimensional force sensorbased on random forest
Authors: Liu Jian
Published: January 2025

Abstract. To improve the accuracy of polarization random noise signal recognition and the noise suppression effect, a method of polarization random noise suppression in a two-dimensional force sensor based on random forest is proposed. The polarization random noise signal model is constructed, the polarization random noise signal is enhanced and the polarization random noise power spectrum of a two-dimensional force sensor is calculated. The characteristic parameters of a polarization random noise signal are extracted and the polarization random noise signal recognition is completed by using a random forest model. Finally, fast Fourier transform is applied to suppress polarization random noise. Simulation results show that the method has a polarized random noise signal with a signal-to-noise range of −15 to 5 dB. The maximum recognition rate even reached 0.99. Therefore, the proposed noise suppression model has the advantages of high accuracy and a good noise reduction effect, which provides a new scheme for the polarization noise suppression problem in the sensor industry.
Unveiling the enigma: bilateral Stafne bone defect as an incidental discovery
Authors:   Department of Oral Medicine and Radiology, JSS Dental College and Hospital, JSS Academy of Higher Education and Research, Mysore - 570 015, India, Deshpande Prasannasrinivas , Patil Karthikeya ,   Department of Oral Medicine and Radiology, JSS Dental College and Hospital, JSS Academy of Higher Education and Research, Mysore - 570 015, India, Solayappan Eswari ,   Department of Oral Medicine and Radiology, JSS Dental College and Hospital, JSS Academy of Higher Education and Research, Mysore - 570 015, India, Doggalli Nagabhushana ,   Department of Oral Medicine and Radiology, JSS Dental College and Hospital, JSS Academy of Higher Education and Research, Mysore - 570 015, India
Published: January 2025

Diagnosing maxillofacial pathologies is challenging as they comprise various tissues, especially the jaws, due to the presence of teeth and their remnants. However, it becomes difficult when the lesion is asymptomatic, and it is critical to rule out whether there is anatomical or pathological variation. As a result, it becomes mandatory to analyze the jawbone before considering dental treatments like implants. The current case presents a rare developmental multilocular bilateral mandibular defect, marking its first publication in the literature. Higher imaging modalities assisted in diagnosing a bilateral Stafne cyst.
Gold Price Prediction Using Long-Short Term Memory Algorithm Based on Web Application
Authors: Dalimunthe Rodiatul Adawiyah , Adek Rizal Tjut , Agusniar Cut
Published: January 2025

Gold is a significant investment asset, particularly in times of economic instability. Various factors, including decisions by financial authorities, inflation, and global economic dynamics, influence the fluctuations in gold prices. Accurately predicting gold prices is valuable for investors when making investment decisions. This study aims to utilize the Long Short-Term Memory (LSTM) algorithm for predicting gold prices and develop a web-based application connected to Yahoo Finance to acquire real-time gold price data. The LSTM algorithm was chosen because it handles time series data with long-term dependencies. LSTM has an architecture that allows the model to retain relevant information over long periods and forget irrelevant data. In this study, the developed LSTM model produced a Mean Absolute Error (MAE) of 19.81, indicating that the average prediction deviates by approximately 19.81 units from the actual value. Furthermore, an average Mean Absolute Percentage Error (MAPE) of 0.83% demonstrates the high prediction accuracy. The results of this study show that LSTM is an effective method for predicting gold prices. The resulting web application allows users to access gold price projections interactively, thereby assisting investors in making more accurate and data-driven decisions with easy access. Additionally, the web application offers customizable features such as adjusting prediction parameters and visualizing results in real time.  These features not only enhance user engagement but also improve decision-making processes. This research provides a practical tool for optimizing investment strategies in a dynamic economic environment by leveraging machine learning and seamless web integration.
The Impact of Digital Divide on the Educational outcomes of deprived Children in Low-Cost Private Sector Schools in Lahore, Pakistan; Post COVID-19 Era
Authors: Shahzad Mehak
Published: January 2025

The COVID-19 pandemic has deepened the existing inequalities in access to education, particularly for deprived children in Pakistan. Children drop-out rate from schools accelerated, learning level of students decreased and more than 10,000 low-cost private-sector schools were permanently closed in Pakistan due to pandemic emergency. These problems questioned the sustainability of schools in Pakistan and put the future of millions of students on stake. Therefore, this study aims to investigate the impact of the digital divide on the educational outcomes and psycho-social challenges for children in the post-COVID-19 period. With the help of mixed-methods approach, the research examines how limited access to digital resources has affected academic performance and created psycho-social challenges for the children. Furthermore, this study identifies specific challenges faced in accessing online education, and explores potential strategies to mitigate these issues. The study focuses on middle school children (grade 6-8) studying in low-cost private sector schools in Lahore, Pakistan. Five low-cost private sector schools from different areas of Lahore have been used to gather the data. It has been observed that underprivileged children confront major challenges while acquiring education. Children and their families lack basic skills to use digital devices, moreover, their inadequate internet access and several socioeconomic problems create hindrances in their educational progress. Similarly, teachers from deprived backgrounds are also fighting the same challenges. Therefore, this study highlights the significance of strategic and sustainable interventions in the field of school education for the progress of children belonging to deprived areas. The study pens the need for providing affordable devices, free digital literacy programs with expansion of internet infrastructure which can bridge the digital divide and improve educational outcomes as well as psychological and socioeconomic conditions of children in Pakistan in the post COVID’19 era.
Effect of Some Parameters on the Adsorption of Heavy Metals using Quinine Functionalized Silica-Coated Magnetic Graphene Oxide (MgO@SiO2-Q)
Authors: T. Abubakar, , B. K. Ibrahim,
Published: January 2025

Heavy metal ions are demonstrated to have adverse effects on human health and animals which cause physical discomfort, life-threatening illness and irreversible damage to the vital body systems even at low concentrations. The conventional methods of treatment of heavy metal contamination include chemical precipitation, chemical oxidation, ion exchange etc. These methods are costly, energy-intensive and often associated with the generation of toxic byproducts. Thus, Adsorbent has been investigated as a cost-effective method for the removal of heavy metals from wastewater. In this study, MGO@SiO2Q nanocomposites functionalized with Quinine Q, was applied to remove Pb(II) and Ni(II)metal ions from contaminated water. For this purpose, the modified Hummers method was used for the synthesis of GO. The synthesized GO was magnetized and coated with 3-chloropropyltrimethoxysilane(CPTS) finally functionalized with Quinine. The results confirmed that GO synthesis processes, magnetization and functionalization were successfully performed. The result of MGO@SiO2-Q adsorption performance revealed that the adsorbent increases as both pH and contact time increase for both Pb(II) and Ni(II) respectively. The results in this study indicate that MGO@SiO2-Q can be considered a practical and effective adsorbent for heavy metal removal in contaminated water.
Formulation and Evaluation of Polyherbal gel containing Thunbergia erecta and Bryophyllum pinnatum extracts for Wound healing activity
Authors: Kumar Sunil , Prakash Gupta Surya
Published: January 2025

Healing a wound is a complicated physiological procedure that entails intricate exchanges between various cellular and molecular components. Herbal remedies have been recognized for their potentially promoting wound healing, and Thunbergia erecta and Bryophyllum pinnatum have demonstrated promising therapeutic properties. The purpose of this study was to develop and assess a multiherbal gel containing extracts of Thunbergia erecta and Bryophyllum pinnatum for their wound healing activity. The phytochemical screening of Thunbergia erecta and Bryophyllum pinnatum indicated the existence of active metabolites like flavonoids, saponins, glycosides, phenols, proteins alongwith amino acid. The gel was evaluated for several physicochemical characteristics, like pH (ranged from 5.8-6.5), viscosity (Formulations 1- 1453, 2-1431, and 3-1486 cps), and stability. An assessment was conducted on the multiherbal gel's ability to heal wounds through in vitro as well as in vivo studies. Furthermore, the gel's antimicrobial properties were examined against E. coli (Formulation 3 showing the best zones of inhibition) using a well diffusion assay. To assess the gel's effectiveness in encouraging wound closure, tissue regeneration, and reducing inflammation via excision model, in vivo investigations were carried out on animal models. Results showed that wound contraction increased with higher concentrations of herbal extracts. The polyherbal gel shows promising wound healing activity, indicating potential for further development as a natural, effective therapeutic option, emphasizing the importance of integrating traditional knowledge with modern scientific approaches.
Identification of Neuroactive Peptide from Venomous Species using Structural Analysis: A Possible Neuronal Therapeutic Candidate
Authors: Chinna Poojari Chandrappa , Sanjana Sanjana , Anbu Gomez Levin , Shirin Saba , Kumar Ankit , Krishnegowda Puneetha Gangadahosahalli , Kumar Guttula Praveen , Sekar Rajkumar , Somu Prathap , Kumar Yadav Akhilesh
Published: January 2025

Neuroactive peptides derived from venomous species have proven to be used as a lead compound for treating neurological diseases. In the present study, the primary structure of the peptide toxins of snakes, scorpions, spiders, cone snails, honey bees, and sea anemones was recovered from different toxin databases. The 3-D structures of the peptide toxins were analyzed with respect to secondary structural elements such as cysteine patterns and disulfide connectivity’s using PYMOL. Their interaction with ion channels/receptors was studied because of its pharmacological importance. The toxins retrieved were found to have – C–Xn–C–Xn–CC–Xn–C–Xn–C-- cysteine pattern for n≥1 that was the same --C---C---CC---C---C— cysteine pattern of ω-conotoxin and hanatoxin, but with a varying intervening non-cysteine residue between cysteines. Hence, these provide insight for structure-based drug design using these peptide toxin scaffolds. Given the optimal molecular weight and specificity of peptides compared to conventional small molecule drugs, peptides are considered future next-generation drug candidates.
Screening the Dermatological Potential of Peruvian Cañihua Oil (Chenopodium pallidicaule): Antioxidant Activity and Inhibitory Capacities over Collagenase and Elastase
Authors: Carpio-Jiménez Carla Del , Trujillo Bertran Santiago
Published: January 2025

Using oils from exotic and native vegetables is an important trend in cosmetics today. Some studies have shown that free saturated and unsaturated fatty acids can inhibit collagenase and elastase. Chenopodium pallidicaule, also known as "cañihua," is a plant whose seeds contain oil with both saturated and unsaturated fatty acids and squalene. This study aimed to identify and quantify the fatty acids in Chenopodium pallidicaule seed oil and evaluate its antioxidant, anticollagenase, and antielastase properties. Fatty acids were identified and quantified using a gas chromatographic-mass spectrometry technique. Antioxidant, anti-collagenase, and anti-elastase activity were determined using spectrophotometry with 96-well microplate reader methods at specific wavelengths. The main fatty acid was linoleic acid (46.66 ± 0.03%), followed by oleic acid (25.69 ± 0.02%), palmitic acid (15.20 ± 0.01%), and linolenic acid (5.31± 0.02%). The DPPH decolorization assay evidenced an IC50 of 112.06 ± 0.47 mg/mL, while the ABTS decolorization assay evidenced an IC50 of 78.9 ± 0.14 mg/mL. The anti-collagenase assay showed an IC50 of 42.87 ± 4.76 mg/mL, and the anti-elastase assay evidenced an IC50 of 244.2 ± 17.30 mg/mL. All these results indicate that Chenopodium pallidicaule seed oil has the potential for use in the development of dermo-cosmetics.
Effects of Zinc supplementation on Sodium (Na), Potassium (K) and Calcium (Ca) levels in the serum of Lithium administered rats
Authors: Pathak R , Pathak A
Published: January 2025

Lithium is a drug of choice in treatment of mania, unipolar and bipolar disorders. During treatment, the trace element levels are severely affected. The objective of this investigation was to determine whether zinc supplementation, which acts as an antioxidant, could improve the levels of trace elements in rats administered lithium. In pursuit of this aim, the male Wistar rats weighing between 150 and 195 g were classified into four primary categories: Group I rats were supplied with unrestricted access to potable water and standard pelleted feed. Lithium carbonate was introduced into the diets of Group II rats 1.1 gram per kilogram of body weight. The drinking water of Group III rats contained a zinc sulphate concentration of 227 mg/L. Lastly, Group IV rats received both lithium as well as zinc in a manner consistent with that of Group II and III, respectively. All the treatments were given for 8 weeks. Serum zinc (Zn), sodium (Na) and potassium (K) levels were decreased with lithium treatment, but levels were increased upon co-administration of lithium (Li) and zinc treatment. The calcium (Ca) levels were reduced in combined group as compared to the lithium treated group. Thus, the introduction of zinc into lithium-treated mice resulted in the restoration of metal levels to baseline, suggesting that zinc may have the ability to restore altered metal levels.
A Comprehensive Exploration of Knowledge Discovery using Machine Learning Techniques in Web Content Mining
Authors: S. Zafar Mehdi Kazmi
Published: January 2025

The rapid growth of online content has led to an increasing need for effective web content mining to extract valuable insights from vast and varied data sources. This paper presents a comprehensive exploration of knowledge discovery using machine learning techniques within the context of web content mining. We examine various machine learning approaches, including supervised, unsupervised, semi-supervised, and deep learning methods, and analyze their effectiveness in tasks such as sentiment analysis, topic detection, content recommendation, and user behavior prediction. Drawing upon a wide array of datasets and application domains, we evaluate the strengths and limitations of each technique, focusing on factors like accuracy, scalability, and adaptability to evolving web content. Our results indicate that while traditional models offer robust performance in specific domains, deep learning techniques show promise in handling complex, unstructured data typical of web environments. We also discuss challenges in implementing these techniques, such as data quality, computational scalability, and model interpretability. This paper concludes by identifying current research gaps and proposing directions for future work, including enhancing model explainability, integrating multimodal data, and addressing privacy concerns. Our findings provide valuable insights for researchers and practitioners aiming to leverage machine learning for knowledge discovery in dynamic, data-rich web ecosystems.
Transforming Indian Ports: An EPIC Model Analysis of Global Supply Chain Integration
Authors: Pratheep Kumar R
Published: January 2025

This study explores the role of Indian ports in the global supply chain through the EPIC (Economic, Political, Infrastructure, Competency) model, addressing the challenges of inefficiencies, high logistics costs, and infrastructure bottlenecks. By examining economic contributions, political and policy impacts, infrastructure development, and competency enhancements, the research provides a comprehensive understanding of how these dimensions influence port performance and global competitiveness. The study adopts a mixed-methods approach, leveraging quantitative analysis of historical data on trade volumes, GDP growth, and vessel turnaround times, alongside qualitative assessments of policy impacts and competency frameworks. Key findings reveal a strong correlation between port throughput and GDP growth, significant efficiency improvements driven by policies like the Sagarmala Project, and infrastructure investments that have enhanced cargo handling capacity. Workforce training initiatives were found to reduce vessel turnaround times, improving overall operational efficiency.The analysis concludes that strategic integration of the EPIC dimensions can transform Indian ports into globally competitive hubs, emphasizing the need for sustained investments, digital transformation, and policy reforms to address existing challenges and enhance supply chain resilience.
Teacher Cooperation and Education Levels as Contributors of Teachers’ ICT Use
Authors: Kiru Elisheba W.
Published: January 2025

Globally, there is considerable investment in education technologies leading to increased attention from stakeholders (Trucano, 2017). For a deeper understanding about the implementation of various technologies, research is needed to examine how teachers are incorporating them in teaching and learning. This study focused on eight countries to examine how teachers used ICT in mathematics instruction and factors that contributed to ICT use. Results show that teachers’ education levels and cooperation amongst educators are associated with ICT use in instruction. The paper includes recommendations and implications for practice and future research.
A Ranking of the Support Criteria for Employees' Productivity Improvement When Working from Home
Authors: Soenandi Iwan Aang , Saint Witerang Leander
Published: January 2025

Covid-19 has affected the world, and its impact is not limited to medical and health aspects. It has also affected social, educational, business, economic, and work environments. The spread of the virus has forced most companies to implement work-from-home (WFH) policies to reduce the mobility of employees and curb the virus's spread, despite potential adverse effects on employees' productivity and performance. This research aims to rank the criteria for improving employees' productivity during WFH using the Fuzzy- method. Four criteria and eight sub-criteria were identified to promote employees' productivity. The four main criteria are Income, Work Schedule, Work Environment, and Work Partner. Data processing results show that these criteria rank from top to bottom as follows: Work Schedule, Work Environment, Work Partner, and Income. We hope that the rankings observed in this research will help managers set policies to increase their employees' productivity when working from home.
Construction Portfolio in Emerging Markets: Indonesia
Authors: Manurung Adler Haymans , Manurung Gerry Juan Carlos , Eprianto Idel , Widjanarko Wirawan , Hatibie Ch. Indra W. P.
Published: January 2025

This research aims to explore equity Portfolio using Elton Gruber, Markowitz, Market Capitalization, Equal Weighted, and Market as Portfolio and Using Stochastic Dominance. Monthly return used for period of 2015 to 2023.  Elton Gruber Method is the highest cumulative return from December 2014 until December 2023. Using Safety First for portfolio, the return is varying range of 3.577% to 13.22% that Equal Weighted is the highest return using Roy Criteria. Using First-Order Stochastic Dominance (FSD), Portfolio of Markowitz Method has stochastic dominance comparing to others portfolio. Market Variable has impact for all portfolio return but interest has impact to Equal Weighted and Elton Gruber Method.  Pandemic Era have only impact to Markowitz Method.