bluuebunny/crossref_metadata_2025 huggingface dataset:
Wounded Objects: Mexican and Global Contexts of Disposable Life
Authors: Antebi Susan
Published: February 2025

This article proposes the concept of the wounded object as an approach to perceptions and representations of disability, wounding, and death, and in particular to ambivalent separations between the living and the dead, the human and the non-human, the singular and the multiple, the identified and the anonymous. My reading is informed by the unequally distributed proliferation of violence in our contemporary global landscape, through which some bodies and populations are designated as more disposable and closer to death than others. The asymmetrical processes of making-disposable take place in regions impacted by war as well as in many settings shaped by racism, economic exploitation and precarity. In this analysis I focus on the juxtaposition of two specific scenarios from Mexico and from the Mexico-US borderlands. The first of these is the statistical display of mortality rates produced by the Mexican government in the COVID-19 era. The second is a lithograph by contemporary artist Linda Lucia Santana, depicting the skull of Joaquín Murrieta, the nineteenth-century outlaw and lynching victim. While the first instance refers to a biopolitical model through which numerical data perform the obscuring of death or damage, the second suggests the enactment of sovereign power through the spectacle of a targeted killing, and thus performs a more explicit encounter with destruction. In each case, the wounded object, a troubled conjuring of past and continuing violence, offers evidence of diverse representations of damaged life, and a framework for the denunciation of both tangible and ephemeral injustices.
Saberes do professor da educação infantil: mediação na roda de conversa a partir da perspectiva dos docentes
Authors:   , Noronha Kátia Lanuce Morais
Published: February 2025

O presente trabalho tem como objeto de estudo os saberes mobilizados pelos professores da
Educação Infantil ao mediar a roda de conversa. Este foi motivado a partir das seguintes
indagações: Quais são os princípios ou saberes que os professores da educação infantil
mobilizam durante a mediação da roda de conversa? Como fazem para mediar o processo da
roda de conversa? Quais concepções eles possuem sobre a roda de conversa e a mediação do
diálogo nela? O objetivo geral é compreender quais são os saberes ou habilidades mobilizadas
pelos professores da educação infantil para nortear a sua mediação na roda de conversa. E como
específicos elencou-se: conhecer as características da roda de conversa na educação infantil;
perceber os princípios atribuídos pelos professores na mediação da roda de conversa e;
identificar como se dá o processo de diálogo entre professor e aluno durante a roda de conversa.
O referencial teórico base deste estudo foram os saberes docentes e formação profissional em
Tardif (2012) e Pimenta (1999); as perspectivas humanizadoras de Freinet (2007; 2017); a
pedagogia emancipatória e dialógica de Freire (1987); a importância das mediações e das
interações sociais, contempladas na teoria histórico-cultural de Vygotsky (2007); o uso da
investigação dialógica como uma abordagem a aprendizagem e ao ensino enfatizada por
Gordon Wells (2016); o papel da fala e da escuta sensível pela perspectiva de Loris Malaguzzi
(2015); Friedmann (2020); Fochi (2020) e os documentos oficiais referentes a Educação
Infantil. A metodologia utilizada é de cunho qualitativo, os instrumentos de coleta de dados
foram a construção do estado do conhecimento e entrevista realizada em grupo focal com quatro
professoras da educação infantil. A análise foi realizada fazendo-se o uso do método de análise
do conteúdo, com foco na análise temática (BARDAN, 2016). Os resultados do estudo apontam
a roda de conversa como uma atividade que contribuí de forma efetiva para uma educação
integral do ser, sendo que esta, contempla e desenvolve habilidades nos aspectos sociais,
afetivos, políticos e cognitivos de todos que dela participam. Porém, o baixo número de
trabalhos encontrados sobre a temática, revela a necessidade da ampliação de estudos sobre
essa atividade que se mostra, por excelência, ser proporcionadora de ambientes igualitários,
inclusivo e facilitador da efetivação da comunicação, bem como, das interações sociais
Bimbingan Karir sebagai Upaya Peningkatan Motivasi Siswa dalam Menggapai Cita - cita di SMAN 3 Kefamenanu
Authors:   Universitas Timor, Amrulloh Mohamad Fajar Farid , Handayani Rika ,   Universitas Timor
Published: February 2025

The problem faced by high school students nearing graduation, aside from the final exams, is the confusion in choosing a career path after completing high school. This confusion arises due to the lack of information and guidance regarding students' potential, aspirations, and the paths to achieve their goals. One of the options is continuing their studies, and thus, there is a need for information about study programs and universities that align with the students' potential. SMAN 3 Kefamenanu is one of the schools in the city of Kefamenanu that has a strong willingness to boost motivation so that students are enthusiastic about continuing their studies. The Career Guidance and Counseling Program (PKM Career Guidance) aims to provide information, guidance, and be a discussion partner for consulting on how to discover one's potential and make career choices based on interests and abilities. The methods employed include presentations, Q&A sessions, guid`ance, and discussions. The results of the service show that after consulting, 74% of students are interested in continuing their studies, 13% are employed, and 13% entered a Catholic academy. The career guidance socialization activities related to information about study programs, job prospects, and universities have a significant impact on providing information for further studies. It also increases students' interest in continuing their education to pursue their aspirations. This is evidenced by questionnaire results, with the percentage of students having sufficient information about further studies before the socialization being 42% (fair), and after the socialization, it reaches 98% (very good). Similarly, the percentage of students showing interest before the socialization is 46% (fair), and after the socialization, it reaches 95% (very good).
Pendampingan Pembelajaran Kolaboratif Mural Tematik bagi Siswa di SMPN 10 Kota Malang
Authors:   Universitas Brawijaya, Rohman A. Syarifuddin , Anggrian Mayang ,   Universitas Brawijaya
Published: February 2025

SMPN 10 kota Malang adalah sekolah yang menerapkan inklusivitas pembelajaran, sehingga beberapa program edukatif-inklusifnya perlu didukung dan dioptimalkan. Bekerjasama dengan Prodi Seni Rupa Murni Universitas Brawijaya, SMP 10 Kota Malang memfasilitasi siswa dan mahasiswa dalam pembelajaran seni rupa dalam bentuk pembuatan mural tematik edukatif. Kegiatan mural tematik edukatif penting dilakukan untuk menyediakan pembelajaran rekreatif yang dapat mengakomodir kebutuhan belajar seni rupa siswa biasa maupun siswa istimewa. Adapun pendampingan pembuatan mural tematik edukatif melibatkan guru, siswa kelas 7,8 dan mahasiswa seni Rupa UB, dengan tema gaya hidup berkelanjutan. Pembelajaran menggunakan metode adaptif dan kolaboratif. Hasil dari kegiatan ini yakni terciptanya mural tematik gaya hidup berkelanjutan dengan 9 tema di 19 bagian dinding depan sekolah. maka tersedia kegiatan pembelajaran yang kontekstual, inklusif dan rekreatif bagi siswa “istimewa” SMPN 10. Disamping itu hasil mural bermanfaat secara artistik untuk lingkungan sekolah dan mahasiswa seni mendapat outlet media belajar yang kontekstual.
Kata kunci: mural tematik; pembelajaran inklusif; kolaboratif; SMPN 10; kota Malang
Integrating Local Culture in Smart City: ‘Sombere’ Based Governance Collaboration in Makassar City, Indonesia
Authors: Setiawan Irfan , Hendra Asep , Taebenu Melianus Mesakh , Johannes Ayu Widowati , Sidiq Fathir Fajar
Published: February 2025

This research aims to examine the integration of local culture in a smart city. The novelty of this research introduces the concept of a Culturally Integrated Smart City, which emphasizes the importance of integrating the Smart City technology framework with local cultural values so that the development of smart cities becomes more inclusive, sustainable, and rooted in local wisdom. The research used a descriptive qualitative. The main data source in this research was obtained from informants. The initial informants were selected purposefully: people who understand problems in collaborative governance and smart cities. The research found that effective communication through face-to-face dialogue in development planning provides space for the community to convey aspirations, which become part of government policy. In addition, building trust between the government and the community has proven crucial in managing Smart City initiatives, especially in developing technological infrastructure such as CCTV surveillance systems and tourist alley revitalization programs. The commitment of local governments, the private sector, and active community participation in every stage of the implementation of the Sombere-based Smart City in Makassar reflects solid collaboration based on local cultural values. The limitations of this research emphasize the aspects of collaboration and cultural integration in Smart Cities but have not discussed in depth the technical and economic aspects that also affect the sustainability of Smart City.
Hassinto y sus lunares
Authors: Castro Mayorga Jinneth Lorena , Grijalba Bernal Erika Paola , Jaramillo Laverde Alejandro
Published: February 2025

LIBRO PRÁCTICO
En esta ocasión, ayuda a Hassinto a tratar los lunares que salieron en su cuerpo
Predicting Agitation-Sedation Levels in Intensive Care Unit Patients: Development of an Ensemble Model
Authors: Dai Pei-Yu , Lin Pei-Yi , Sheu Ruey-Kai , Liu Shu-Fang , Wu Yu-Cheng , Wu Chieh-Liang , Chen Wei-Lin , Huang Chien-Chung , Lin Guan-Yin , Chen Lun-Chi
Published: February 2025

Background

Agitation and sedation management is critical in intensive care as it affects patient safety. Traditional nursing assessments suffer from low frequency and subjectivity. Automating these assessments can boost intensive care unit (ICU) efficiency, treatment capacity, and patient safety.

Objectives

The aim of this study was to develop a machine-learning based assessment of agitation and sedation.

Methods

Using data from the Taichung Veterans General Hospital ICU database (2020), an ensemble learning model was developed for classifying the levels of agitation and sedation. Different ensemble learning model sequences were compared. In addition, an interpretable artificial intelligence approach, SHAP (Shapley additive explanations), was employed for explanatory analysis.

Results

With 20 features and 121,303 data points, the random forest model achieved high area under the curve values across all models (sedation classification: 0.97; agitation classification: 0.88). The ensemble learning model enhanced agitation sensitivity (0.82) while maintaining high AUC values across all categories (all >0.82). The model explanations aligned with clinical experience.

Conclusions

This study proposes an ICU agitation-sedation assessment automation using machine learning, enhancing efficiency and safety. Ensemble learning improves agitation sensitivity while maintaining accuracy. Real-time monitoring and future digital integration have the potential for advancements in intensive care.
Stroke Diagnosis and Prediction Tool Using ChatGLM: Development and Validation Study
Authors: Song Xiaowei , Wang Jiayi , He Feifei , Yin Wei , Ma Weizhi , Wu Jian
Published: February 2025

Background

Stroke is a globally prevalent disease that imposes a significant burden on health care systems and national economies. Accurate and rapid stroke diagnosis can substantially increase reperfusion rates, mitigate disability, and reduce mortality. However, there are considerable discrepancies in the diagnosis and treatment of acute stroke.

Objective

The aim of this study is to develop and validate a stroke diagnosis and prediction tool using ChatGLM-6B, which uses free-text information from electronic health records in conjunction with noncontrast computed tomography (NCCT) reports to enhance stroke detection and treatment.

Methods

A large language model (LLM) using ChatGLM-6B was proposed to facilitate stroke diagnosis by identifying optimal input combinations, using external tools, and applying instruction tuning and low-rank adaptation (LoRA) techniques. A dataset containing details of 1885 patients with and those without stroke from 2016 to 2024 was used for training and internal validation; another 335 patients from two hospitals were used as an external test set, including 230 patients from the training hospital but admitted at different periods, and 105 patients from another hospital.

Results

The LLM, which is based on clinical notes and NCCT, demonstrates exceptionally high accuracy in stroke diagnosis, achieving 99% in the internal validation dataset and 95.5% and 79.1% in two external test cohorts. It effectively distinguishes between ischemia and hemorrhage, with an accuracy of 100% in the validation dataset and 99.1% and 97.1% in the other test cohorts. In addition, it identifies large vessel occlusions (LVO) with an accuracy of 80% in the validation dataset and 88.6% and 83.3% in the other test cohorts. Furthermore, it screens patients eligible for intravenous thrombolysis (IVT) with an accuracy of 89.4% in the validation dataset and 60% and 80% in the other test cohorts.

Conclusions

We developed an LLM that leverages clinical text and NCCT to identify strokes and guide recanalization therapy. While our results necessitate validation through widespread deployment, they hold the potential to enhance stroke identification and reduce reperfusion time.
Developing a Public-Friendly Sarcopenia Guideline Framework: A model integrating ChatGPT, human experts, and Google (Preprint)
Authors: Chen Jiangjie , Xu Chenghao , Lu Fangying , Zhang Liwei , Hong Yixi , Bian Pingda , Chen Cunguo , Tung Tao-Hsin , Hong Dun
Published: February 2025

BACKGROUND

The highly academic and complex nature of the current expert consensus on sarcopenia may limit public awareness and understanding of this disease.

OBJECTIVE

This study aims to develop a more public-friendly framework for future sarcopenia guidelines by utilizing a model that incorporates Google, the Chat Generative Pre-Trained Transformer 4.0 (ChatGPT 4.0), and sarcopenia experts.

METHODS

The first step of this human-centered model involved identifying the most popular questions on sarcopenia using the “People Also Ask” feature on Google. In the second step, these questions were input into ChatGPT 4.0 to generate answers, while sarcopenia experts reviewed existing consensus to provide answers. In the third step, sarcopenia experts assessed the relevance of current consensus to the questions. They compared and analyzed the responses from ChatGPT 4.0 and the expert reviews, offering suggestions for future guidelines. Finally, the results from the expert analysis were used as prompts for ChatGPT 4.0 to develop a framework for future sarcopenia guidelines.

RESULTS

We scored and identified the 9 most popular questions. The current sarcopenia consensus was inadequate in answering these questions. In the existing consensus, diagnostic criteria received the highest emphasis, scoring 25.5 points (out of 40 points), followed by exercise and nutrition, each with 13 points. In contrast, topics such as prognosis and symptoms were addressed less, with a score of only 5.5 points and 4.5, respectively. This human-centered model that integrates ChatGPT 4.0, human experts, and Google created a framework for more public-friendly sarcopenia guidelines, addressing the inadequately covered topics.

CONCLUSIONS

The human-centered model that combines ChatGPT 4.0, human experts, and Google has great potential in creating more accessible and public-friendly clinical guidelines for sarcopenia

CLINICALTRIAL

none
Friction Stir Weld Strength Evaluation and Mechanical Characteristics Investigation on AA 6082 with Various Tool Shoulders
Authors: RajKumar S.
Published: February 2025

The design of the friction stir welding tool controls the transverse rate at which FSW may be performed and is crucial
to material flow. Three main purposes are performed by the tool: (a) heating the work piece; (b) moving material to create the
joint; and (c) holding the hot metal under the tool shoulder. Friction between the rotating tool pin and shoulder as well as
significant plastic deformation of the work cause heating within the work piece. The purpose of the tool shoulder is to contain
the softened, plasticized metal underneath it and to apply heat to the surface of the material being welded by rotating the tool and
applying a significant compressive force. One of the key elements of the friction stir welding process is comprehending the
temperature generation surrounding the tool shoulder contact. The current study examined how different tool shoulder end
features affected the 6082 aluminum alloy's mechanical characteristics and temperature. Convex tool shoulders provide the
highest level of weld quality across all types when compared to other tool shoulders, according to the same criterion we used
during the FSW joining procedure of AA6082.In the end, it was determined that the FSW of AA6082 would benefit greatly by
tapper cylindrical, concave tool shoulders.
Sales and Service Optimization by Salesforce
Authors: Kumar Ajay
Published: February 2025

The increasing complexity of sales and service operations in the modern industrial sector necessitates the adoption of
advanced technological solutions. This research focuses on optimizing sales and service processes at New Holland, a leading
agricultural and construction equipment manufacturer, by leveraging Salesforce’s capabilities.
The project begins by analyzing New Holland’s existing sales and service workflows, identifying inefficiencies such as prolonged
response times, limited customer insights, and fragmented data management. To address these challenges, Salesforce’s Sales
Cloud and Service Cloud were implemented to centralize customer relationship management, streamline service processes, and
enhance sales operations through automation and AI-driven insights.
The implementation resulted in significant improvements, including a 30% reduction in service response time, a 25% increase in
sales conversion rates, and enhanced customer satisfaction levels. The centralization of data enabled seamless communication
between sales and service teams, fostering a more cohesive operational strategy.
Review Paper on Wood Apple
Authors: Lagad Sakshi
Published: February 2025

Many Indian medicinal plants with remarkable healing properties remain underutilized, and the wood apple is one
edible fruit among them. Various parts of the tree—including the leaves, bark, roots, fruits, and seeds—are widely used in
Ayurvedic medicine to address chronic diarrhea, dysentery, peptic ulcers, and even as a laxative, among other conditions. In
addition, numerous scientific investigations have confirmed its ethnomedicinal benefits by identifying an array of bioactive
compounds with antihyperglycemic, antidiabetic, anticancer, antimicrobial, hepatoprotective, and other pharmacological
activities. This review provides a detailed look at the nutritional content, phytochemistry, and both traditional and modern
medicinal uses of the often-overlooked wood apple.
Effectiveness of Some Insecticides Against Thrips (Thrips tabaci) on Three Onion (Allium cepa L.) Varieties
Authors:   Plant Protection Department, College of Agriculture and Forestry, Tikrit University, Iraq, Majeed Q.H. , Mansour M.S ,   Plant Protection Department, College of Agriculture and Forestry, Tikrit University, Iraq
Published: February 2025

Thrips (Thrips tabaci L.) (Thysanoptera: Thripidae) is one of the important insect pests which attack the onion crop. Experiments were carried out to evaluate the effectiveness of different insecticides on thrips management by using three onion varieties “Red” (Red Grano), “Yellow” (Yellow Creole), and “White” (White Grano). Four insecticides were used at the full and half recommended concentration. Experiments were carried out using randomized complete block design with six treatments (three varieties, two doses (3 and 1.5 ml/L), and three replications for each insecticide. The results obtained showed that the number of thrips was statistically significant between treatments. The dose 3 ml/L was more effective than the 1.5 ml/L for all varieties, 14 days after treatment. The efficacy rate of Vertimec® insecticide reached 27.37, 27.34 and 26.73% at the dose 3 ml/L for the three varieties, respectively. The efficacy of Actara® insecticide reached 53% with the yellow onion variety at the concentration of 3 ml/L. The Pinto® insecticide was more efficient on the red onion variety at the same concentration. The highest efficacy of Decis® insecticide was obtained on yellow onion variety 44.3%, using the same concentration of 3 ml/L.

Keywords:

Allium cepa L., onion, thrips, Thrips tabaci, insecticides.
Fumigant Toxicity of Four Essential Oils Against Two Major Stored Date Fruit Insects Andandand Microbial Load
Authors:   Department of Date Palm Pests and Diseases, Central Laboratory for Date Palm, Agricultural Research Center (ARC), Giza, Egypt., . El-Shafei W.K.M , Lewaa L.M. ,   Department of Date Palm Pests and Diseases, Central Laboratory for Date Palm, Agricultural Research Center (ARC), Giza, Egypt.
Published: February 2025

Dates are among the most important fruits with high nutritional value. These fruits are exposed to many pests that reduce their market value which include Oryzaephilus surinamensis (L.) (Coleoptera: Silvanidae), Plodia interpunctella (Hübner) (Lepidoptera: Pyralidae), in addition to a microbial load. This work aimed to investigate the effect of four crude essential oil fumigants: lavender (Lavandula officinalis), orange (Citrus sinensis), marjoram (Majorana hortensis), and eucalyptus (Eucalyptus citratus), as a safe alternative to manage these pests. Five concentrations of each oil (62.5 to 1000 mg/l of air) were evaluated at 3, 5, and 7 days after treatment. Results obtained indicated that the fumigant toxicity increased with the increase of oils concentration and exposure time. L. officinalis essential oil had the highest toxic effect against the 4th larval stage of P. interpunctella and the O. surinamensis adults followed by C. sinensis which was much more toxic as fumigant than M. hortensis oil, whereas E. citratus oil was the least effective on the two tested insects. Results obtained also indicated clearly that Surinam adults were more tolerant to the four tested essential oils than the P. interpunctella larvae. The four tested essential oils had high antibacterial and antifungal activity in the treated stored date fruits. This work clearly confirmed that lavender, orange, marjoram and eucalyptus oils can be used to protect stored date fruits due to their ability to control P. interpunctella and O. surinamensis insects as well as their ability to act as antibacterial and antifungal agents on stored date fruits.

Keywords:

Phoenix dactylifera, essential oils, Plodia interpunctella, Oryzaephilus surinamensis, date fruits, microbial load
Effect of Some Nutritional Supplements on Biological and Productive Characteristics of Silkworm, Bombyx mori L.
Authors:   Latakia Research Center, General Authority of Agricultural Scientific Research, Latakia, Syria, Oukasha Eman , Arab Attia ,   Latakia Research Center, General Authority of Agricultural Scientific Research, Latakia, Syria, ElRoz Hisham ,   Plant Protection Department, Faculty of Agriculture, University of Damascus, Syria.
Published: February 2025

The silkworm, Bombyx mori L. is an important silk-producing insect. Mulberry leaves are considered the only nutritional source of carbohydrates, proteins, amino acids, fats, and minerals needed for this insect to produce silk. This study was conducted during the summer 2022 at Silkworm Laboratory of the Scientific Agricultural Research Center in Latakia. It aimed to investigate the effect of fortifying mulberry leaves with aqueous extracts of some nutritional supplements: Citrus sp. pollen, probiotic fortified with vitamins, Althaea sp. extract, Azolla sp. extract and Aloe vera extract on biological characteristics and productivity of silkworm B. mori. Fourth and fifth instar larvae were fed mulberry leaves treated with nutritional supplement extracts. The results obtained confirmed the effectiveness of nutritional supplements in improving biological characteristics and productivity compared to the control. The highest larval weight (5.44 g) was for silkworms fed with mulberry leaves fortified with pollen. The highest effective rearing rate (ERR%), cocoon weight and female fecundity rate were 97.70%, 1.81g, 618.2 eggs/female, respectively, in response to probiotics treatment. In addition, all fortified feeding treatments were significantly superior to the control in terms of silk ratio, filament length, weight, and size which reached 19.18-19.88%, 1389-1511 m and 1.85-1.929 denier, respectively.

Keywords:

Silkworm, nutritional supplements, biological characteristics, productivity.
Review of “Queer as Folklore”: reimagining science communication through storytelling and identity
Authors: Bandelli Andrea
Published: February 2025

This review of “Queer as Folklore” examines how cultural narratives and queer identity intersect to reshape our understanding of science communication. By analyzing myths, legends, and personal stories, the book illustrates how folklore operates as a form of “data storytelling”, capturing accounts of resilience, identity, and exclusion. It critiques the traditional boundaries between scientific knowledge and cultural storytelling, arguing that stories of figures like witches, vampires, and mermaids contain meaningful lessons about survival and social change. The book demonstrates how adopting a queer lens can expose power imbalances and foster inclusive communication, encouraging deeper public engagement with science.
Quantum reversal: a general theory of coherent quantum absorbers
Authors: Tsang Mankei
Published: February 2025

The fascinating concept of coherent quantum absorber – which can absorb any photon emitted by another system while maintaining entanglement with that system – has found diverse implications in open quantum system theory and quantum metrology. This work generalizes the concept by proposing the so-called reversal conditions for the two systems, in which a "reverser" coherently reverses any effect of the other system on a field. The reversal conditions are rigorously boiled down to concise formulas involving the Petz recovery map and Kraus operators, thereby generalizing as well as streamlining the existing treatments of coherent absorbers.
Platformu nodarbinātība Rīgā: nedrošība, autonomija un savas labbūtības individualizēšana savstarpēji neuzticīgā sabiedrībā
Authors: Ķešāne Iveta , Spuriņa Maija
Published: February 2025

Attīstoties platformu ekonomikai, arvien vairāk cilvēku pasaulē izvēlas platformu darbu kā galveno vai papildu ienākumu avotu, neraugoties uz to, ka šī darba forma ir izteikti prekāra jeb nedroša – platformās strādājošajiem nav ilgtermiņa darba līguma, viņi nav sociāli aizsargāti, viņi lielā mērā uzņemas tirgus riskus, kaut arī viņu darba apstākļus lielā mērā nosaka platformu algoritmi.
Šajā rakstā, izmantojot kvalitatīvās socioloģijas metodes – padziļinātas intervijas ar 60 Rīgā platformās Wolt un Bolt Food strādājošiem ēdienu kurjeriem un kurjeru savstarpējās sarakstes tiešsaistes forumos analīzi –, atklājam platformu darba praksi. Balstoties uz teorētisko literatūru un citviet veiktiem zinātniskiem pētījumiem par platformu darbu, atbildam uz trīs pētnieciskiem jautājumiem: kāda ir platformu darba izvēles noteicošā motivācija un apstākļi; kā platformās nodarbinātie izjūt savu brīvību un autonomiju šajā darbā; un kāpēc, neraugoties uz neapmierinātību ar darba apstākļiem, platformās nodarbinātie kurjeri Latvijā līdz šim nav mobilizējušies kolektīvam protestam vai streikam.
Rakstā izklāstītā analīze pierāda: lai izprastu mūsdienu darba praksi un pieredzi, ir svarīgi to skatīt plašākā platformās strādājošo dzīves kontekstā. Platformu nodarbinātība pilnīgi noteikti rada darba apstākļus, kuros strādājošo brīvība un autonomija ir visai ierobežota. Kamēr citās valstīs platformās strādājošie kompensē šo brīvības trūkumu, politiski mobilizējoties, protestējot un streikojot, tieši Latvijā kolektīvu mobilizāciju kavē vispārējā savstarpējā neuzticība un dominējošās neoliberālās vērtīb­orientācijas. Vienlaikus vismaz daļa no platformās strādājošajiem šo darbu izvēlas, jo darba grafika izvēles brīvība ļauj rast daudz labāku darba un dzīves balansu nekā tradicionālā nodarbinātība. Attiecīgi: lai arī autonomija darbā ir ierobežota, šis darbs sniedz autonomijas izjūtu attiecībā pret daudzām citām lomām un statusiem, ko cilvēks savā dzīvē īsteno.
Krievijas centieni iejaukties Latvijā ‒ vara, drošība, ietekme
Authors: Rostoks Toms
Published: February 2025

Andra Kudora grāmatas Russia and Latvia: a case of sharp power (“Krievija un Latvija: asās varas gadījums”, 2024, London, New York: Routledge, Taylor & Francis Group.) apskats.
Izgaismojot ilgtspējas mirāžas. Naftas antropoloģija Arābijas tuksnesī
Authors: Lūse Agita
Published: February 2025

Agneses Cimdiņas monogrāfijas “Ilgtspējas meklējumi Arābijas tuksnesī: tirgus un naftas antropoloģija” (2023,  Rīga: Jāņa Rozes apgāds) apskats.
Brain Tumor Segmentation and Detection Utilizing Deep Learning Convolutional Neural Networks
Authors: Mekala Bhaskar , Neelamadhab Padhy  , Kiran Kumar Reddy Penubaka
Published: February 2025

Brain tumor division presents a principal challenge in neuro-oncology, essentially affecting determination, treatment arranging, and persistent results. Machine learning strategies, counting directed, unsupervised, and profound learning approaches, have revolutionized neuroimaging investigation by robotizing and upgrading the division of brain tumors over imaging modalities like MRI and CT. Profound learning, especially convolutional Neural Systems (CNNs), empowers exact outline of tumor boundaries, distinguishing proof of districts of intrigued, and extraction of neurotic highlights, tending to restrictions of conventional manual strategies. In spite of significant progressions, challenges stay in optimizing algorithmic execution, guaranteeing clinical significance, and tending to moral contemplations. The integration of strong calculations into clinical workflows requires intrigue collaborations to improve adequacy and reliability. Future inquire about bearings emphasize creating progressed models, leveraging data-driven approaches, joining frameworks into clinical hone, keeping up moral compliance, cultivating collaborative advancement environments, and locks in partners. This consider highlights the transformative affect of CNN-based profound learning strategies on progressing demonstrative precision, progressing treatment results, cultivating healthcare development, and supporting personalized pharmaceutical approaches around the world.
Designing integrated intelligent control systems for photovoltaic cooling and dust panels based on IoT: Kirkuk study, Iraq
Authors: Yaareb Elias Ahmed  , Jagadeesh Pasupuleti  , Fadhil Khadoum Alhousni  , Firas Basim Ismail  , Ismail Hossain
Published: February 2025

This study presents an innovative integrated control system to enhance photovoltaic (PV) efficiency in arid regions by addressing two critical challenges: temperature-induced performance degradation and dust accumulation. Focusing on Kirkuk, Iraq, the proposed system integrates two distinct intelligent subsystems powered by IoT technology: an activated water-based cooling mechanism and an activated water-driven dust removal system. Both subsystems employ real-time data from IoT sensors (temperature, humidity, dust density, irradiance) to autonomously optimize operations through a centralized cloud platform. The cooling subsystem utilizes activated water circulated through microchannel networks embedded in PV panels, dynamically triggered by AI algorithms to maintain optimal temperatures. Simultaneously, the dust removal subsystem employs pressurized activated water sprays, activated during the night periods to minimize energy loss, with computer vision algorithms identifying dust distribution patterns for targeted cleaning. This research highlights the synergy between IoT-driven automation, activated water technologies, and dual-control optimization, offering a scalable model for renewable energy systems in arid climates. The framework aligns with sustainable development goals by balancing energy efficiency, water conservation, and cost-effectiveness. Field experiments in Kirkuk demonstrated a 27% increase in energy output and a 40% reduction in maintenance downtime compared to conventional systems. The intelligent scheduling of activated water usage reduced overall water consumption by 30% while achieving 95% dust removal efficiency. Economic analysis confirmed a 22% reduction in operational costs due to adaptive resource management and prolonged PV lifespan.
Standardizing Competency Mapping To Improve Private Sector Bank Employee Performance In Thruchirapalli District
Authors: K. Vinoth  , P. Gowthaman  , S. Elango  , R. Kannappa
Published: February 2025

In the evolving banking landscape, employee competency plays a crucial role in driving efficiency, customer satisfaction, and institutional growth. Private sector banks, characterized by their competitive work environment and performance-driven culture, require a robust competency mapping framework to assess employees’ skills and align them with organizational goals. However, existing assessment models in private banks often lack systematic evaluation, leading to inefficiencies in workforce management. This study aims to develop a structured competency mapping framework for private sector banks in Thruchirapalli district to bridge skill gaps and enhance employee productivity. Data were collected from 250 employees across five leading private banks, including ICICI, HDFC, Axis, Yes Bank, and Kotak Mahindra. The analysis utilized Exploratory Factor Analysis (EFA) and Structural Equation Modeling (SEM) to identify critical competency parameters such as technical expertise, leadership abilities, and customer relationship management. Findings from this study provide a standardized approach to competency mapping, enabling private banks to implement targeted training programs and career development strategies. The study concludes that competency-based human resource strategies significantly improve workforce efficiency and employee retention in private banking institutions.
MESTRE, OU O SABER COMO EXTENSÃO DA VIDA
Authors: Tavares Joana Ribeiro da Silva
Published: February 2025

Nesta entrevista, realizada em 2001, Aderbal Freire-Filho (1941-2023) aborda o contato que teve com Klauss Vianna (1928-1992) na década de 1980. O primeiro na direção do espetáculo e o segundo como responsável pelo trabalho corporal na peça Mão na Luva, um texto de Vianinha. A publicação deste diálogo hoje, mais de vinte anos depois, rende homenagem póstuma a ambos, Aderbal e Klauss, mestres nos ofícios da direção e da direção de movimento no Teatro Brasileiro.
Mitigating the toxic director: Strategies for identifying and managing toxic behavior to prevent exponential costs
Authors: Bar-Hava Keren
Published: February 2025

Toxic boardroom dynamics threaten the integrity of corporate governance, leading to financial losses, regulatory scrutiny, and stakeholder mistrust. This article proposes a decision-tree framework designed to systematically identify, document, and mitigate toxic behaviors before it escalates. Using international case studies, we demonstrate how unchecked board toxicity leads to governance failures, reputational damage, and ESG misalignment. The framework integrates legal principles, behavioral psychology, and corporate governance best practices, equipping boards with a structured intervention process, including director dismissal when necessary. By adopting this proactive strategy, organizations can strengthen ethical leadership, reinforce investor confidence, and prevent exponential governance costs.
Understanding Autism Spectrum Disorder: A Comparison of Legislation and Support in Malaysia and the UK
Authors: Yasin Redwan , Wan Haniff Wan Amir Azlan , Sathik Hassan Basri Jahubar , Yusoff Zulhazmi
Published: February 2025

Autism, encompassing conditions such as Asperger Syndrome, Childhood Disintegrative Disorder, and Pervasive Developmental Disorders, is marked by social communication deficits and repetitive behaviors. In Malaysia, the Persons with Disabilities Act 2008 provides general protections but lacks enforceable provisions, while the Employment Act 1955 does not address autism-specific workplace adjustments. Consequently, individuals with autism face high unemployment rates and financial hardships, with limited government support for specialized services or employer incentives. This paper explores the challenges faced by individuals with Autism Spectrum Disorder (ASD) in Malaysia, comparing its legal and social frameworks to those in the United Kingdom. The following paper presents a qualitative study based on secondary data collected through scientific databases and library research that examines the legal protection systems for persons with autism in Malaysia and the United Kingdom. Through statutory interpretation and comparative analysis, key features of each jurisdiction point out remarkable similarities and differences in the responsibilities of the government in the discharge of rights and protection for persons with autism. It is recommended that Malaysia adopt a comprehensive autism strategy similar to the UK's, including mandatory autism assessments for individuals in the criminal justice system, as well as implementing clear employment protections for autistic individuals by amending the Employment Act 1955 and establishing a workplace adaptation funding scheme, inspired by the UK's Access to Work system.
La Inclusión de Estudiantes con Discapacidades en la Educación Básica y Secundaria: Una Revisión Científica
Authors: Pico Holguin Bolivia Magdalena
Published: February 2025

La inclusión educativa de estudiantes con discapacidad es un eje fundamental dentro de los sistemas educativos modernos, buscando garantizar el acceso equitativo a la educación y la participación plena de todos los alumnos. La inclusión no solo mejora la calidad educativa, sino que también promueve la equidad social y el respeto a la diversidad. Sin embargo, su implementación presenta desafíos significativos relacionados con la falta de formación docente, la carencia de recursos, la infraestructura inadecuada y las barreras socioculturales que dificultan la integración efectiva de los estudiantes con discapacidad.

Esta revisión bibliográfica tiene como objetivo analizar las estrategias más efectivas en la inclusión de estudiantes con discapacidad en los niveles de educación básica y secundaria, basándose en estudios recientes publicados en bases de datos científicas. Se exploran enfoques metodológicos como el Diseño Universal de Aprendizaje (DUA), la adaptación curricular y el uso de tecnologías de apoyo. También se analizan políticas públicas orientadas a la inclusión y el impacto de la capacitación docente en la aplicación de modelos pedagógicos inclusivos.

Los hallazgos evidencian que la formación docente, el financiamiento adecuado y la sensibilización de la comunidad educativa son factores clave para garantizar una educación inclusiva efectiva. Se concluye que, si bien existen avances en la implementación de modelos inclusivos en diversos países, aún persisten desigualdades significativas en su aplicación.
I projektorens skygge. Om problemerne ved PowerPoint-undervisning
Authors: Larsen Philip
Published: February 2025

Et undervisningsrum bør være et sted, der giver plads til at blive klogere sammen; et åbent og stridslystent rum, hvor deltagerne lytter til og diskuterer med hinanden og underviseren. Engageret og nærværende undervisning har imidlertid trange kår på dagens universiteter og mange steder i uddannelsesverdenen. Dels skærmer de studerende sig for hinanden bag deres laptops, dels skærmer underviserne sig for de studerende bag PowerPoint-slides. I dette essay reflekterer jeg over skærmenes skyggesider og stiller særligt skarpt på underviserens brug af PowerPoint. Jeg fremhæver i forlængelse af nyere empiriske studier, hvordan og hvorfor den ekstensive anvendelse af slides underminerer betingelserne for god og levende undervisning. Og jeg slår til lyd for, at de digitale lysbilleder bør holdes på et minimum, hvis vi ønsker, at fagligheden skal kunne spire på vores uddannelsesinstitutioner. Argumenterne er bygget op, så de er kompatible med både en læringsinstrumentalistisk og en dannelsesorienteret pædagogik. Afslutningsvis udvider jeg artiklens perspektiv og diskuterer de demokratiske konsekvenser af skærmbåren undervisning.
English abstract
In the Shadow of the Projector: On the Problems of PowerPoint teaching
Digital devices are omnipresent in contemporary educational settings. Students bring their own laptops to class, whereas most educators rely extensively on PowerPoint presentations when they lecture or facilitate classroom teaching. This is especially true when it comes to university teaching. In this essay, I reflect on the downsides of bringing digital devices into the auditoria. Building upon recent empirical research on the effects of screens in educational settings, I argue that the use of PowerPoint presentations should be kept at a minimum, given that they tend to undermine the preconditions for good, solid and substantial teaching. Finally, I discuss the wider pedagogical and democratic implications of an excessive use of digital devices within the educational system.
A Time of Opportunities to Improve our Health and Address Chronic Diseases
Authors: DP Hoffman , J Robitscher
Published: February 2025

Chronic Diseases were in the news last year at this time prompting me to author a piece found in these pages [1]. I find that chronic diseases are once again in the news, but the media aren’t covering the body of knowledge built up over many years by public health and medical professionals that show us where there exist multiple opportunities to make a difference in the key arena of prevention. We continue to live in a time when our knowledge and our actions don’t always match up.
EVIDENCIA SOBRE DISCRIMINACIÓN SALARIAL POR GÉNERO EN BOLIVIA
Authors: Salazar Aramayo Julio Álvaro , Iraizos Quintanilla Dillis , Pereira Delgadillo Marcos Alfredo Alfonso
Published: February 2025

El presente trabajo de investigación utiliza el modelo logit de regresión y la descomposición de Oaxaca- Blinder con objeto de servir como evidencia de la existencia de discriminación salarial hacia las mujeres en Bolivia. Las bases de datos que se utilizan son las Encuestas de Hogares de las gestiones 2011 a 2021, realizadas por el Instituto Nacional de Estadística (INE), analizados en un periodo de prepandemia (2011 a 2019) y un periodo de pandemia (2020-2021). Se ha detectado en promedio del periodo de prepandemia (2011-2019) que, el solo hecho de pertenecer al género femenino reduce en 4.71% la probabilidad de encontrar un empleo de buena calidad, existe en este periodo una evolución descendente en la probabilidad de conseguir un empleo de mala calidad por la condición de ser mujer de 8.27 % en 2011 hasta 4.82% en la gestión 2019 y; el promedio del periodo de pandemia (2020-2021) muestra que el hecho de ser mujer aumenta en 3.50% la probabilidad de encontrar un buen empleo, siendo este cambio de comportamiento el efecto de la pandemia sobre la probabilidad de encontrar un empleo de buena calidad en la condición de ser mujer. En cuanto a los ingresos, se establece para el periodo de prepandemia, que la condición de ser mujer disminuye en 6.92% la probabilidad de ganar por lo menos dos salarios mínimos nacionales, sin embargo, para el periodo de pandemia, la condición de ser mujer aumenta en 7.10% la probabilidad de ganar por lo menos dos salarios mínimos nacionales, mostrando el “efecto de la pandemia” sobre el comportamiento de los ingresos con relación a la condición de ser mujer. El análisis de la brecha salarial por Oaxaca- Blinder muestra, que sí existe discriminación salarial propiamente dicha contra la mujer en el periodo de prepandemia, representada por la brecha no explicada de 67.49% sobre la brecha total, la cual sube a representar el 88.20% de la brecha salarial total para el periodo de pandemia como efecto de la misma.
Significant Relationship Between Family Conflict and the Implications of Students Who Are Frequently Bullied at School
Authors: Mutia Qana'a  , Prihantini  , Tin Rustini  , Pikir Wisnu Wijayanto
Published: February 2025

Bullying is a problem that often occurs in schools. Facts show that students who often carry out bullying come from less harmonious family backgrounds. This is urgent to research with the aim of analyzing the relationship between family conflict and the stages of bullying in male students in middle school. Quantitative research method. The subjects were students with a population of 450 people and only 76 students had bullying tendencies. These 76 students were selected as samples in this study. Data collection techniques using instruments. Question instrument to investigate the Bullying Behavior Stage. Family Conflict Violence Investigation is used to measure students' stages of family conflict. Measurement with a Likert scale of 1-5. Descriptive statistical analysis techniques and inference statistics (Pearson correlation test). The results and findings show that the level of bullying among male students tends to be at a low level (2.52). A significant relationship was found between family conflict and stages of bullying. It was found that the frequency of conflict was minimal for the type of sibling conflict within students at school and the most frequent conflict was between parents and students. The findings show that family conflict factors need to receive serious attention and be taken into account in designing intervention programs to prevent the bullying phenomenon from becoming more serious in schools.
Textbook Using a Brain Based Learning Model Assisted by a Scientific Approach for Learning Critical Thinking Skills
Authors: Amin Harahap  , Rohani  , Almahdi Rambe  , Marzuki Ahmad  , Dwi Putria Nasution
Published: February 2025

Students' low critical thinking skills are the main problem in this research. Apart from that, in learning it was found that the textbooks used were less varied and did not direct students to develop their thinking abilities. The learning model that can maximize thinking abilities is Brain Based Learning (BBL) and the learning approach that has clear stages and can be included in textbooks is the scientific approach. The aim of this research is to develop a textbook using the BBL model assisted by a scientific approach in teaching students' critical thinking skills. The development model used is the ADDIE Model which includes the stages of analysis, design, development, implementation, evaluation. Research instruments include validation sheets, questionnaires and tests. Research data includes product validation data obtained from expert validation, product response data obtained from student response questionnaire results, and students' critical thinking abilities obtained from tests. The data obtained was analyzed using quantitative and qualitative descriptive techniques. The data analysis carried out showed the results of achieving a Validity Mean Percentage Score (PRS) of 84.74 (valid criteria), the practicality of achieving PRS of 80.59 (practical criteria), and achieving PRS effectiveness of 89.31 (effective criteria). The data analysis carried out shows that the product developed meets the criteria of being valid, practical and effective and is suitable for use as a textbook. Based on these achievements, the development of textbook products with a brain-based learning model is feasible and good for use in teaching students' mathematical critical thinking skills.