bluuebunny/crossref_metadata_2025 huggingface dataset:
Glial-derived Neuroinflammation induced with Amyloid-beta-peptide Plus
Fibrinogen Injection in Rat Hippocampus
Authors: McLarnon James G.
Published: September 2023

Introduction:

The present study has examined microglial and astrocyte activation in association with neuronal degeneration in an animal model using an injection of amyloid-beta peptide Aβ1-42 (Aβ42) plus fibrinogen into rat hippocampus.

Methods:

The combination of stimuli is suggested as a novel and potent perturbation to induce gliosis and the production of glial-derived neurotoxic factors in an animal model exhibiting a leaky BBB (blood-brain barrier). Specifically, Aβ42+fibrinogen stimulation elevated levels of COX-2 (cyclooxygenase-2) and iNOS (inducible nitric oxide synthase) with a considerable extent of neuronal loss associated with microglia and astrocyte activation.

Results:

Treatment of injected rats with the broad spectrum anti-inflammatory agent, minocycline or the iNOS inhibitor, 1400W inhibited gliosis, reduced levels of COX-2 and iNOS, and demonstrated efficacy for neuroprotection.

Conclusion:

The findings suggest the utility of combining peptide plus fibrinogen as a potent and understudied neuroinflammatory stimulus for the induction of glial-derived neurotoxic factors in BBB-compromised AD brain.
Mitochondrial Calcium Uniporter (MCU) that Modulates Mitochondrial
Calcium Uptake and Facilitates Endometrial Cancer Progression through
Interaction with VDAC1
Authors: Xiao Hongyan , Ma Lijun , Ding Jie , Wang Honghong , Bi Xiaofang , Tan Fengmei , Piao Wenhua
Published: September 2023

Background:

Although endometrial cancer represents a frequently diagnosed malignancy
of the female reproductive tract, we know very little about the factors that control endometrial
cancer.

Objective:

Our study was presented to investigate the function of MCU in endometrial tumorigenesis
and the molecular mechanisms involved.

Materials and Methods:

A total of 94 endometrial cancer patients were recruited into our cohort.
MCU and VDAC1 expression was examined in tumor and normal tissues via immunohistochemistry
and immunofluorescence. Associations of MCU and VDAC1 expression with clinicopathological
characteristics were evaluated. After transfection with shRNA targeting MCU or full-length
MCU plasmids, clone formation, wound healing, transwell and MitoTracker Red staining were separately
presented in Ishikawa and RL95-2 cells. Moreover, Western blotting or immunofluorescence
was utilized to examine the expression of MCU, VDAC1, Na+/Ca2+/Li+ exchanger (NCLX),
and β-catenin under VDAC1 knockdown and/or MCU overexpression or knockdown.

Results:

MCU and VDAC1 expression were prominently up-regulated in endometrial cancer tissues
and were significantly associated with histological grade, depth of myometrial invasion and
lymph node status. MCU up-regulation enhanced clone formation, migration, and mitochondrial activity
of endometrial cancer cells. The opposite results were investigated when MCU was silenced.
MCU or VDAC1 silencing reduced the expression of MCU, VDAC1, NCLX, and β-catenin. Moreover,
VDAC1 knockdown alleviated the promoting effect of MCU overexpression on the above
proteins.

Conclusion:

This investigation demonstrated that MCU-induced mitochondrial calcium uptake
plays a critical role in endometrial tumorigenesis through interaction with VDAC1.
Inhibitory Pedunculopontine Neurons Gate Dopamine-Mediated Motor
Actions of Unsigned Valence
Authors: Zhang Sirin , Mena-Segovia Juan , Gut Nadine K.
Published: September 2023

Background:

The pedunculopontine nucleus (PPN) maintains a bidirectional connectivity
with the basal ganglia that supports their shared roles in the selection and execution of motor actions.
Previous studies identified a role for PPN neurons in goal-directed behavior, but the cellular substrates
underlying this function have not been elucidated. We recently revealed the existence of a monosynaptic
GABAergic input from the PPN that inhibits dopamine neurons of the substantia nigra. Activation
of this pathway interferes with the execution of learned motor sequences when the actions are rewarded,
even though the inhibition of dopamine neurons did not shift the value of the action, hence suggesting
executive control over the gating of behavior.

Objective:

To test the attributes of the inhibition of dopamine neurons by the PPN in the context of
goal-directed behavior regardless of whether the outcome is positive or negative.

Methods:

We delivered optogenetic stimulation to PPN GABAergic axon terminals in the substantia
nigra during a battery of behavioral tasks with positive and negative valence.

Results:

Inhibition of dopamine neurons by PPN optogenetic activation during an appetitive task impaired
the initiation and overall execution of the behavioral sequence without affecting the consumption
of reward. During an active avoidance task, the same activation impaired the ability of mice to
avoid a foot shock, but their escape response was unaffected. In addition, responses to potential threats
were significantly attenuated.

Conclusion:

Our results show that PPN GABAergic neurons modulate learned, goal-directed behavior
of unsigned valence without affecting overall motor behavior.
Biological Drugs for the Treatment of Uncontrolled Severe Asthma in
Children
Authors: Indolfi Cristiana , Klain Angela , Bencivenga Chiara Lucia , D'Addio Elisabetta , Dinardo Giulio , Decimo Alberto , del Giudice Michele Miraglia
Published: September 2023

The introduction of biological drugs for the treatment of severe allergic asthma in chil-
dren, almost twenty years ago, had a substantial impact on both the pathology's clinical course and
the quality of life of the patients who receive treatment. Over the years, several molecules have
been developed that inhibit molecular targets involved in the pathogenesis of the asthmatic disease.
Biological drugs demonstrate a significant improvement in several key clinical parameters in patients with severe asthma. In this review, we provide a concise summary of the evidence on biological therapy for children and adolescents with severe asthma.
Amelioration of Type 2 Diabetes Mellitus by Plant-derived Natural
Dipeptidyl Peptidase-4 Inhibitors through Incretin Degradation Lowering
Effect: An Updated Review
Authors: Kishan Hari , Choudhary Manjusha , Sharma Sachin , Kaur Bamrah Prabhjeet , Choudhary Nitesh
Published: September 2023

Glucagon-like peptide-1 and Glucose-dependent insulinotropic polypeptides are the most investigated gut peptides concerned with the biological glucose milieu. Early and late metabolism of incretin governs glucose homeostasis in diabetes mellitus. Dipeptidyl Peptidase-4, present in pancreatic alpha cells, is responsible for incretin degradation. Emerging biotechnological and molecular approaches established the pathophysiological role of Dipeptidyl Peptidase-4 and incretin in type 2 diabetes mellitus. Thus, various conventional synthetic Dipeptidyl Peptidase-4 inhibitors have been formulated, but they have serious adverse effects such as cancer, pancreatitis, cardiovascular risks, hepatic dysfunctions, etc. So, the concoction of a Dipeptidyl Peptidase-4 inhibitor entity with less or no severe adverse event becomes a need for society and medical corridor. Over the last two decades, natural or conventional herbal remedies have emerged as an alternate therapy for diabetes and treating its complications. This review summarized various plants (Emblica officinalis, Adenia viridiflora, Cleome droserifolia, Lens culinaris, Hedera nepalensis Melicope glabra, etc.) Dipeptidyl Peptidase-4 inhibitors, which have been preclinically proven for hyperglycemia treatment.
Metal-based Nanoparticles in the Treatment of Infectious Diseases
Authors: Kumbhar Popat , Patil Onkar , Karade Preeti , Bhokare Rajdeep , Gupta Gaurav , Singh Sachin Kumar , Dua Kamal , Disouza John , Patravale Vandana
Published: September 2023

Infectious diseases caused by different pathogens are responsible for high mortality across the globe. Multi-drug resistance (MDR) of microorganisms towards different antibiotics has posed a great challenge in treating infectious diseases efficiently. The metal-based nanoparticles (MNPs) have demonstrated great promise in treating infectious diseases because of their inherent antimicrobial potential. Besides, these NPs show site-specific delivery of antibiotic therapeutics, thereby minimizing dose, dose frequency, and side effects. Further, the synergistic effect of MNPs with an antibiotic can reduce the MDR. However, the fabrication of MNPs using an apt fabrication technique with proper control of charge, size, and morphology is highly required to achieve better therapeutic performance. This review focuses on MNPs as a potential avenue to treat infectious diseases. The role of MNPs in combating MDR, different sorts of MNPs, and their fabrication techniques are discussed. Furthermore, assorted types of MNPs employed in antibiotic delivery to treat infectious diseases are discussed with manifold case studies. In short, MNPs alone or as a carrier of antibiotics seems to be an effective strategy in wiping out infectious diseases.
Rancang Bangun Rumah Pengering Kopi Hybrid Guna Meningkatkan Efektivitas Pengeringan Kopi Di Kecamatan Pinogu, Provinsi Gorontalo
Authors:   Fakultas Teknologi Pertanian, Universitas Brawijaya, Susilo Bambang , Fibrianto Kiki ,   Fakultas Teknologi Pertanian, Universitas Brawijaya, Ciptadi Gatot ,   Fakultas Peternakan, Universitas Brawijaya, Yulis Setyawan Hendrix ,   Fakultas Teknologi Pertanian, Universitas Brawijaya, Subagyo Aris ,   Fakultas Teknik, Universitas Brawijaya, Putra Samudra Rizki ,   Fakultas Teknologi Pertanian, Universitas Brawijaya, Ardy Colas Napitupulu Roy ,   Fakultas Peternakan, Universitas Brawijaya
Published: September 2023

Coffee has become the superior product of Pinogu District with a distinctive taste with natural processing which makes this coffee categorized as organic coffee so it has a high selling value. The problem is, the process of drying coffee in the sun is often constrained by the weather so that the product produced is less than optimal. Therefore, it is necessary to develop appropriate technology in the form of hybrid drying houses. The design of the drying housing made of steel and polycarbonate is expected to speed up the drying time. The result is that drying time efficiency is 5.6 times faster than conventional methods, and can also save space, and is able to dry as much as 240 kg of coffee in one process. In addition, drying using this method can also reduce contamination in coffee, so as to improve coffee quality
Exploratory Spatial Data Analysis Using Geoda for Regional Apparatus in Malang Regency
Authors:   Universitas Brawijaya, Malang, Indonesia, Astutik Suci , Bernadetha   Theresia   Mitakda Maria , Darmanto Darmanto , Rizky  Fitrilia Wulaida , Chai  Runnisa Ismi , Irsandy Diego , Dwirahma Widhiasih Nisa
Published: September 2023

The Malang Regency Communication and Information Office (Diskominfo) since 2019 has published the Malang Regency One Data book. Some KMSD data contain location information which is referred to as spatial data. The Malang Regency Communication and Information Office (Diskominfo) since 2019 has published the Malang Regency One Data book. Some KMSD data contain location information which is referred to as spatial data. However, the problem faced by Diskominfo is the limited Human Resources both Diskominfo and data producers (OPD) in exploring sectoral data involving spatial data and presenting it in a map. The purpose of this activity is to provide training in exploratory spatial data analysis for OPD to improve sectoral data processing capabilities, especially those containing spatial information. The training was conducted through the provision of materials and discussions on exploratory spatial data analysis and its application using the Geoda software.
Optimalisasi Kebun Bibit Desa Melalui Kegiatan Refugia Plant Nursery di Kelompok Wanita Tani Kabupaten Lamongan
Authors:   Program Studi Agroteknologi, Fakultas Pertanian, Universitas Muhammadiyah Gresik, Agustina Rohmatin
Published: September 2023

Kegiatan pengabdian masyarakat ini dilakukan dengan tujuan untuk meningkatkan peran Kelompok Wanita Tani (KWT) melalui kegiatan pembibitan atau nursery pada Kebun Bibit Desa (KBD). Kegiatan nursery yang dilakukan oleh Kelompok Wanita Tani dalam pengabdian masyarakat ini adalah pembibitan tanaman refugia (refugia plant nursery). Tanaman refugia merupakan tanaman yang ditanam atau dibudidayakan disekitar tanaman utama sebagai tempat hidup musuh alami. Keberadaan musuh alami sangat bermanfaat menekan serangan hama penyakit pada tanaman utama. Dalam pelaksanaannya pengabdi akan bekerjasama dengan kelompok tani, dinas pertanian, serta penyuluh setempat. Bentuk pengabdian yang dilakukan yaitu sosialisi dan penyuluhan manfaat tanaman refugia serta pelatihan dan pendampingan pembibitan sampai penanaman tanaman refugia. Manfaat dari kegiatan pengabdian ini adalah meningkatkan peran aktif kelompok wanita tani dalam kegiatan usaha tani, mengoptimalisasi kebun bibit desa yang ada, lingkungan persawahan dan jalan desa menjadi lebih indah dengan tanaman refugia, meningkatnya musuh alami sehingga mengurangi serangan hama dan penyakit tanaman utama yaitu padi, mengurangi penggunaan pestisida, dan meningkatkan keseimbangan ekosistem sawah
Pengembangan Amenitas dan Penguatan Tatakelola Wisata Kuliner Pantai Kondang Merak Kabupaten Malang
Authors:   Program Studi Budidaya Perairan, FPIK, Universitas Brawijaya, Martinah  Hariati Anik
Published: September 2023

Ekowisata pantai merupakan salah satu sektor ekonomi yang penting di Kawasan Malang Selatan, salah satunya adalah pantai kondang merak. Tujuan kegiatan pengabdian masyarakat strategis ini adalah untuk meningkatkan amenitas berupa pasar tradisional yang menjadi kebutuhan masyarakat kondang merak, meningkatkan tata Kelola wisata kuliner di Kawasan wisata Pantai Kondang Merak. Kegiatan ini dilaksanakan dengan melibatkan 6 mahasiswa dalam kuliah kerja nyata tematik. Pengambilan data dilakukan dengan pengamatan langsung, survey dan wawancara. Pasar yang dibangun memiliki ukuran 8x5 m, dengan tiang terbuat dari kayu dan atap digunakan sebagai tempat meletakkan solar panel untuk sumber energi terbarukan. Pendataan aspek sosial ekonomi di Pantai Kondang merak menunjukkan adanya beberapa hoestay, warung kuliner dan beberapa potensi wisata yang dapat dikunjungi masyarakat. Pengunjung pantai Kondang Merak lebih banyak ditemukan pada weekend dan hari libur daripada pada hari kerja. Kelompok ibu-ibu yang tergabung dalam kelompok pengolahan/pemasar ikan telah mendapatkan pelatihan pemasaran produk perikanan sehingga penjualan produk yang dihasilkan telah mencapai ke wilayah kota Malang. Pantai kondang Merak memiliki potensi yang sangat besar untuk dikembangkan wisata alam dan wisata kuliner, guna meningkatkan kesejahteraan dan perekonomian masyarakat setempat
Peningkatan Kualitas Pelaporan DHKP (Daftar Himpunan Ketetapan Pajak dan Pembayaran) Desa Kedungsolo Porong Sidoarjo Tahun 2022
Authors:   Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Brawijaya, Silviyah Rahmi Nur , Surya Wardhani Ni Wayan , A. Rinaldo Fernandes Adji
Published: September 2023

Pajak Bumi dan Bangunan (PBB) adalah pajak terhutang ditentukan oleh keadaan objek yaitu bumi/tanah dan bangunan, keadaan subjek pajak tidak ikut menentukan besarnya pajak. PBB dibayarkan melalui pemerintah desa, kemudian disetorkan ke bank daerah. Dalam pelaksanaannya terdapat beberapa permasalahan terkait pemungutan PBB oleh pemerintah desa. Salah satunya di Desa Kedungsolo, masalah yang dihadapi adalah pencatatan masih secara manual dalam daftar buku oleh petugas desa, sehingga pencatatan secara klasik ini membutuhkan waktu lama apabila melakukan proses pencarian nama wajib pajak. Selain itu terdapat kesalahpahaman tentang pencatatan distribusi SPPT PBB oleh petugas, apakah benar sudah diterima oleh wajib pajak atau masih berada pada petugas tersebut. Solusi yang harus dilakukan adalah dengan mengembangkan sebuah sistem informasi yaitu dalam bentuk dashboard dengan bahasa pemrograman Hypertext Preprocessor(PHP) yang terintergrasi dengan MySQLuntuk meningkatkan kualitas pelaporan Daftar Himpunan KetetapanPajak dan Pembayaran (DHKP). Aparat desa dan masyarakat setempat sangat terbantu dengan adanya sistem informasi Dashboard Data Entry SPPT PBB-P2. Dengan adanya sistem ini koordinator hanya memonitoring data pemungutan PBB yang diinput oleh petugas penarikan pajak, memberikan kemudahan petugas penarikan pajak yang berperan sebagai admin dalam pencatatan PBB secara online dan terstruktur, serta memudahkan wajib pajak untuk mengakses status SPPT PBB secara individu.
Education and Training on Making Solid Washing Soap Based on Used Cooking Oil (Study on Students of SMAN 9 Malang)
Authors:   Department of Biosystem Engineering, Faculty of Agricultural Technology, Universitas Brawijaya, Malang, Indonesia, Mufidah Elya , Atsari Dewi Ika ,   Department   of   Agro-industrial   Technology,   Faculty   of  Agricultural   Technology, Universitas Brawijaya, Malang, Indonesia
Published: September 2023

Produk sabun dapat diperoleh dari reaksi hidrolisis asam lemak dengan basa (alkali). Salah satu sumber asam lemak yang biasa ditemukan dalam kehidupan sehari-hari adalah minyak goreng. Sisa minyak goreng bekas ada kecenderungan dibuang langsung ke lingkungan sekitar. Minyak goreng bekas biasa disebut minyak jelantah, yang jika dibuang sembarangan bisa menjadi limbah ke lingkungan sekitar. Kegiatan ini bertujuan untuk mengedukasi siswa sebagai agen transfer edukasi pada masyarakat tentang bahaya penggunaan minyak goreng secara berulang dan membantu memberikan solusi agar minyak jelantah dapat digunakan kembali dalam berbagai kondisi, termasuk pembuatan sabun cuci padat. Terdapat 2 tahapan yang dilakukan yaitu tahap persiapan dan tahap pelaksanaan. Pengolahan limbah minyak jelantah menjadi sabun padat dilakukan kepada siswa/i kelas XI dan XII MIPA SMAN 9 Malang sebagai bentuk edukasi dalam mengurangi dampak buruk limbah minyak jelantah bagi lingkungan dan kesehatan. Berdasarkan hasil kegiatan pelatihan yang dilakukan, lebih dari 82% siswa/i SMAN 9 Malang memahami dan menerima materi pembuatan sabun padat berbahan dasar minyak jelantah dengan baik.
Community-based Psychosocial Support for Orphan and Vulnerable Children living in an Orphanage
Authors:   Fakultas Ilmu Kesehatan, Universitas Brawijaya, Hidayah Ridhoyanti , Lestari Retno , Panca Lydia Endah
Published: September 2023

Children and people living in orphanages are a high-risk group vulnerable to psychosocial problems. Individual who lived in this community are not only orphans but also children and people from low-income families. This group could be perpetrators, witnesses and victims of bullying and other misbehavior lead to mental health and psychosocial problems that are carried out directly, both in the orphanage and in the school where they involved with. This community service aims to improve mental health status of children and people at the Al Husna Orphanage, Dau District, Malang Regency through training of early detection, prevention and early treatment for psychosocial problems through implementation of psychosocial intervention and counseling. When people live in together with other people from different backgrounds, many things triggered to conflict among them. Mental health on students were easily distracted. The results are that they have experienced risk for suicide, hallucination, delusion, anxiety, and social isolation. The manager of the orphanage and the teachers did not understand the early sign, symptoms and treatment then it followed by the psychology issues among staff and the teachers. Through the empowerment program that has been carried out by dealing with the orphan and vulnerable children, socialization and training regarding psychological well-being, early detection, prevention, and treatment could be well-implemented during their activity of daily living. They can detect the deviations early and arrange prevention lists as well as sustainable step for upcoming moment. Most of the children and people were not aware of the problem mental health issues around them as well as prevention and early treatment. People in the orphanage play an active role during outreach activities, training, counseling and focus group discussions.
De dos bases de datos relacionales a una base de datos XML. El proyecto COMREGLA
Authors: López Martín Iván , Tur Cristina , Garzón Fontalvo Eveling , Pardal Padín Alberto , González Saavedra Berta , Salas Jiménez Guillermo , Hidalgo González José Ignacio
Published: September 2023

Esta contribución tiene como objetivo presentar las modificaciones y adaptaciones que hemos hecho a dos bases relacionales del proyecto REGLA (REcción y complementación en Griego Antiguo y Latín) cuyo foco se encuentra en el estudio de predicaciones verbales. El fin de estos cambios –que se enmarcan en el proyecto COMREGLA– es que la información contenida en ellas sea compatible con otras herramientas de tratamiento automático del lenguaje y que el análisis no sea solo de predicaciones nucleares y básicas, sino de textos completos. Para ello, se ha creado un estándar de notación nuevo que permite reflejar la riqueza de la información morfológica, sintáctica, semántica y léxica de las bases de datos originales, dar cuenta de la propia recursividad del lenguaje (en términos de posibles relaciones de estructuras) y enriquecer el análisis con etiquetas para componentes que no se estudiaban antes (complementación no obligatoria de la predicación expandida). This paper aims to present the modifications made to two relational databases belonging to REGLA (Rección y complementación en Griego antiguo y Latín, Spanish acronym for Government and complementation in Ancient Greek and Latin), a research project centred on the study of verbal predications. This transformation, which is the main goal of the project COMREGLA, seeks to make the information stored in these databases compatible with other natural language processing tools, as well as to expand their analysis beyond core and basic predications to cover the whole discourse. To do so, a new standard for linguistic annotation has been developed which not only enables the representation of the rich linguistic information on the source databases, but also allows for the recursive nature of language (understood as complex structures relations) and enriches the analysis with new data from elements not addressed hitherto, such as non-obligatory complementation within the expanded predication.
Análisis del epistolario del coronel Anselmo Pineda con Python: una mirada al proyecto coleccionista y al territorio desde las redes sociales y el aprendizaje automático
Authors: Ortiz Hernández Santiago Alejandro
Published: September 2023

Este artículo analiza el coleccionismo del coronel Anselmo Pineda, quien fue el mayor coleccionista de documentos públicos del siglo XIX colombiano, a partir de su voluminoso epistolario conservado en la Biblioteca Nacional de Colombia. Se usa una metodología mixta que combina la tradicional lectura cercana y la lectura distante realizada por la máquina e implementada a través de técnicas propias de la ciencia de datos y los Sistemas de Información Geográfica implementados con Python. De manera que, a través de esa doble lectura, se propone alcanzar dos objetivos: I) plantear una aproximación basada en humanidades digitales e historia digital que permita descubrir el método de recopilación de documentos del coronel al examinar la composición de su red de colaboradores reconstruida exclusivamente mediante su correspondencia personal, y II) explorar el alcance espacial de esa red Digital Humanities, Corpus and Language Technology de colaboradores de forma tal, que posibilite la evaluación de la dimensión espacial en la conformación de la biblioteca Pineda en el marco del proyecto civilizatorio de la naciente república en Nueva Granada. This article analyzes colonel Anselmo Pineda’s collecting, who was the major documental collector of Colombian XIX century, taking as source his rich and abundant personal correspondence preserved at the National Library of Colombia. The previous through a mixed methodology that blend the traditional close reading of the letters and distant reading performed by the machine and implemented trough data science and GIS techniques with Python. Therefore, with that dual type of reading, this article proposes two goals: I) to pose both a theoretical and practical approximation, based on Digital Humanities and Digital History, that allows discover compilation method developed by colonel Pineda when examine the composition of his network of collaborators reconstructed exclusively through his personal letters, and II) to explore the spatial scope of that collaborators’ network in a manner that allows the evaluation of the spatial dimension in the conformation of Pineda’s library under the civilizatory project at the emergent republic of Nueva Granada.
Integrating sustainability impact into disaster resource management: A structural model for the United Arab Emirates
Authors: Al-Hammadi Ali Ahmed , Mahmood Wan Hasrulnizzam Wan
Published: September 2023

This study endeavors to formulate a comprehensive structural model of disaster resources management that incorporates sustainability impact within the context of the United Arab Emirates (UAE). Given the UAE's vulnerability to diverse natural and man-made disasters, there arises a pressing need for effective disaster management strategies that embrace sustainability principles. To address this need, the research employs Partial Least Squares Structural Equation Modeling (PLS-SEM) and involves 152 stakeholders as respondents. The investigation adopts a multi-faceted approach, combining a thorough literature review, insightful case study analysis, and interviews with key stakeholders engaged in disaster management across the UAE. The study successfully identifies crucial factors that contribute to the efficacy of disaster resources management and its sustainability impact, while also recognizing the barriers and challenges that hinder the implementation of such strategies. The resulting structural model serves as a comprehensive framework for the seamless integration of sustainability considerations into disaster resources management within the UAE. Envisioned through a systems thinking approach, the model thoughtfully addresses the interconnectivity of various factors and the potential trade-offs between immediate emergency response and long-term sustainability objectives. The findings of this research contribute significantly to the field of knowledge concerning disaster resources management and sustainability impact, particularly in the unique context of the UAE. Furthermore, the model developed in this study holds practical implications for policymakers and practitioners involved in disaster management in the UAE, offering them a valuable blueprint for formulating effective and sustainable disaster management strategies.
Information Seeking in Information Management Practices: A systematic literature review
Authors: Mohd Zazmi Muhammad Zaffri , Hussin Norhayati , Mohd Tokiran Nurul Syfa , Abdul Rahman Abd Latiff
Published: September 2023

Information Seeking is one of the elements of Information Management Practices. Many authors use Information Seeking terms in various fields, such as health, medicine, business management and information management. This paper will provide insight into the research related to information seeking based on various studies in online databases. The main goal of this paper is to provide a systematic literature review of Information sought from the previous research from the year 2015 to the year 2020. The selected database consists of Emerald Insight, Science Direct and ProQuest. The search was done by using the keyword “information seeking”.
Availability, Quality, and Evidence-Based Content of mHealth Apps for the Treatment of Nonspecific Low Back Pain in the German Language: Systematic Assessment
Authors: Ulrich Lauro , Thies Phillip , Schwarz Annika
Published: September 2023

Background

Nonspecific low back pain (NSLBP) carries significant socioeconomic relevance and leads to substantial difficulties for those who are affected by it. The effectiveness of app-based treatments has been confirmed, and clinicians are recommended to use such interventions. As 88.8% of the German population uses smartphones, apps could support therapy. The available apps in mobile app stores are poorly regulated, and their quality can vary. Overviews of the availability and quality of mobile apps for Australia, Great Britain, and Spain have been compiled, but this has not yet been done for Germany.

Objective

We aimed to provide an overview of the availability and content-related quality of apps for the treatment of NSLBP in the German language.

Methods

A systematic search for apps on iOS and Android was conducted on July 6, 2022, in the Apple App Store and Google Play Store. The inclusion and exclusion criteria were defined before the search. Apps in the German language that were available in both stores were eligible. To check for evidence, the apps found were assessed using checklists based on the German national guideline for NSLBP and the British equivalent of the National Institute for Health and Care Excellence. The quality of the apps was measured using the Mobile Application Rating Scale. To control potential inaccuracies, a second reviewer resurveyed the outcomes for 30% (3/8) of the apps and checked the inclusion and exclusion criteria for these apps. The outcomes, measured using the assessment tools, are presented in tables with descriptive statistics. Furthermore, the characteristics of the included apps were summarized.

Results

In total, 8 apps were included for assessment. Features provided with different frequencies were exercise tracking of prefabricated or adaptable workout programs, educational aspects, artificial intelligence–based therapy or workout programs, and motion detection. All apps met some recommendations by the German national guideline and used forms of exercises as recommended by the National Institute for Health and Care Excellence guideline. The mean value of items rated as “Yes” was 5.75 (SD 2.71) out of 16. The best-rated app received an answer of “Yes” for 11 items. The mean Mobile Application Rating Scale quality score was 3.61 (SD 0.55). The highest mean score was obtained in “Section B–Functionality” (mean 3.81, SD 0.54).

Conclusions

Available apps in the German language meet guideline recommendations and are mostly of acceptable or good quality. Their use as a therapy supplement could help promote the implementation of home-based exercise protocols. A new assessment tool to obtain ratings on apps for the treatment of NSLBP, combining aspects of quality and evidence-based best practices, could be useful.

Trial Registration

Open Science Framework Registries sq435; https://osf.io/sq435
Automated Category and Trend Analysis of Scientific Articles on Ophthalmology Using Large Language Models: Development and Usability Study (Preprint)
Authors: Raja Hina , Munawar Asim , Mylonas Nikolaos , Delsoz Mohammad , Madadi Yeganeh , Elahi Muhammad , Hassan Amr , Abu Serhan Hashem , Inam Onur , Hernandez Luis , Chen Hao , Tran Sang , Munir Wuqaas , Abd-Alrazaq Alaa , Yousefi Siamak
Published: September 2023

BACKGROUND

In this paper, we present an automated method for article classification, leveraging the power of large language models (LLMs).

OBJECTIVE

The aim of this study is to evaluate the applicability of various LLMs based on textual content of scientific ophthalmology papers.

METHODS

We developed a model based on natural language processing techniques, including advanced LLMs, to process and analyze the textual content of scientific papers. Specifically, we used zero-shot learning LLMs and compared Bidirectional and Auto-Regressive Transformers (BART) and its variants with Bidirectional Encoder Representations from Transformers (BERT) and its variants, such as distilBERT, SciBERT, PubmedBERT, and BioBERT. To evaluate the LLMs, we compiled a data set (retinal diseases [RenD] ) of 1000 ocular disease–related articles, which were expertly annotated by a panel of 6 specialists into 19 distinct categories. In addition to the classification of articles, we also performed analysis on different classified groups to find the patterns and trends in the field.

RESULTS

The classification results demonstrate the effectiveness of LLMs in categorizing a large number of ophthalmology papers without human intervention. The model achieved a mean accuracy of 0.86 and a mean F1-score of 0.85 based on the RenD data set.

CONCLUSIONS

The proposed framework achieves notable improvements in both accuracy and efficiency. Its application in the domain of ophthalmology showcases its potential for knowledge organization and retrieval. We performed a trend analysis that enables researchers and clinicians to easily categorize and retrieve relevant papers, saving time and effort in literature review and information gathering as well as identification of emerging scientific trends within different disciplines. Moreover, the extendibility of the model to other scientific fields broadens its impact in facilitating research and trend analysis across diverse disciplines.
Effects of Virtual Care on Patient and Provider Experience of the Clinical Encounter: Qualitative Hermeneutic Study (Preprint)
Authors: McCaffrey Graham , Wilson Erin , Zimmer Lela V , Singh Anurag , Jonatansdottir Steinunn , Zimmer Peter , Snadden David , Graham Ian D , MacLeod Martha
Published: September 2023

BACKGROUND

Virtual health care has transformed health care delivery, with its use dramatically increasing since the COVID-19 pandemic. While it has been quickly adopted for its convenience and efficiency, there has been a relative lack of in-depth exploration of its human impact, specifically how both patients and providers experience clinical encounters.

OBJECTIVE

This analysis aims to identify and explore themes of change in how patients and providers in a geographically dispersed renal service described their experiences with virtual care, including those changes that occurred during the COVID-19 pandemic.

METHODS

Hermeneutics is an interpretive research methodology that treats human experience as inherently interpretive, generating meaning through interactions with others in specific, historically conditioned, social contexts. A total of 17 patients and 10 providers from various disciplines were interviewed by phone as part of a study on health care implementation in the context of a kidney care service in northern British Columbia, Canada. The interview data were analyzed using a hermeneutic approach, which emphasizes careful attention to reported experiences in relation to the relationships and contexts of care.

RESULTS

During analysis, the interdisciplinary team identified themes related to changes in the clinical encounter and how virtual care influenced perceptions of care among both providers and patients. We organized these themes into 2 categories: the structure and content of the encounter. The structure category included the convenience for patients, who no longer had to travel long distances for appointments, as well as changes in care networks. For example, communication between specialist services and local primary care providers became more crucial for ensuring continuity of care. The content category included issues related to trust-building and assessment. Providers expressed concerns about the difficulty in assessing and understanding their patients’ physical and social well-being beyond laboratory results.

CONCLUSIONS

Patients in the study appreciated the convenience of not needing to travel for appointments, while still having the option for in-person contact with local providers or specialists if their condition changed. Providers were more concerned about the loss of visual cues and sensory data for assessments, as well as the reduced opportunity to build relationships through conversation with patients. Providers also described changes in the locus of control and boundaries, as patients could join phone encounters from anywhere, bypassing traditional privacy and confidentiality boundaries. The study offers a nuanced view of the effects of virtual care on clinical encounters in one setting, seen through the experiences of both patients and providers.
Academic Detailing as a Health Information Technology Implementation Method: Supporting the Design and Implementation of an Emergency Department–Based Clinical Decision Support Tool to Prevent Future Falls (Preprint)
Authors: Barton Hanna J , Maru Apoorva , Leaf Margaret A , Hekman Daniel J , Wiegmann Douglas A , Shah Manish N , Patterson Brian W
Published: September 2023

BACKGROUND

Clinical decision support (CDS) tools that incorporate machine learning–derived content have the potential to transform clinical care by augmenting clinicians’ expertise. To realize this potential, such tools must be designed to fit the dynamic work systems of the clinicians who use them. We propose the use of academic detailing—personal visits to clinicians by an expert in a specific health IT tool—as a method for both ensuring the correct understanding of that tool and its evidence base and identifying factors influencing the tool’s implementation.

OBJECTIVE

This study aimed to assess academic detailing as a method for simultaneously ensuring the correct understanding of an emergency department–based CDS tool to prevent future falls and identifying factors impacting clinicians’ use of the tool through an analysis of the resultant qualitative data.

METHODS

Previously, our team designed a CDS tool to identify patients aged 65 years and older who are at the highest risk of future falls and prompt an interruptive alert to clinicians, suggesting the patient be referred to a mobility and falls clinic for an evidence-based preventative intervention. We conducted 10-minute academic detailing interviews (n=16) with resident emergency medicine physicians and advanced practice providers who had encountered our CDS tool in practice. We conducted an inductive, team-based content analysis to identify factors that influenced clinicians’ use of the CDS tool.

RESULTS

The following categories of factors that impacted clinicians’ use of the CDS were identified: (1) aspects of the CDS tool’s design (2) clinicians’ understanding (or misunderstanding) of the CDS or referral process, (3) the busy nature of the emergency department environment, (4) clinicians’ perceptions of the patient and their associated fall risk, and (5) the opacity of the referral process. Additionally, clinician education was done to address any misconceptions about the CDS tool or referral process, for example, demonstrating how simple it is to place a referral via the CDS and clarifying which clinic the referral goes to.

CONCLUSIONS

Our study demonstrates the use of academic detailing for supporting the implementation of health information technologies, allowing us to identify factors that impacted clinicians’ use of the CDS while concurrently educating clinicians to ensure the correct understanding of the CDS tool and intervention. Thus, academic detailing can inform both real-time adjustments of a tool’s implementation, for example, refinement of the language used to introduce the tool, and larger scale redesign of the CDS tool to better fit the dynamic work environment of clinicians.
The Application Potential of Large Language Model in the Management for Diabetic Ketoacidosis: Systematic Review (Preprint)
Authors: Xue Song , Zhou Zhiguang
Published: September 2023

BACKGROUND

There is a gap for at least 10,000 endocrinologists, which might cause delayed treatment in some patients with DKA. The efficacy of large language model (LLM) in improving productivity has been illustrated in rehabilitation medicine. However, it remains unclear in the management for patients with DKA.

OBJECTIVE

This study aimed to investigate the application potentials of large language model in the management of patients with diabetes ketoacidosis (DKA).

METHODS

ChatGPT-4 was applied to generate information of diagnosis, treatment and regular follow-up based on a classic DKA case. Junior and senior endocrinologist were invited to review accuracy and limitations of the output to determine the rough value of ChatGPT-4 in the routine practice, especially in DKA.

RESULTS

ChatGPT-4 could respond in seconds and generated information including the diagnosis, regimen and follow-up pertinent to the case. Also, it provided rationale for the diagnosis or suggestion outputted. Compared with the standard answer or guideline, recommendation ChatGPT-4 offered was more elaborate, which including self-management education, diet and exercise, assessment for chronic disease management follow-up, and psychosocial support. However, there were some limitations, including the inability to provide the most suitable recommendations in the complex situations. Similar findings were found when compared with the endocrinologists.

CONCLUSIONS

Large language model present tremulous potentials in facilitating routine practice and medical education on improving the working efficiency of endocrinologists.
AboutFace: A Randomized Controlled Evaluation of an Online Peer-Based Intervention to Increase PTSD Treatment Engagement (Preprint)
Authors: Grubaugh Anouk Liliana , Davidson Tatiana , Ruggierk@musc.edu Ken , Knapp Rebecca , Hamblen Jessica
Published: September 2023

BACKGROUND

Posttraumatic stress disorder (PTSD) is prevalent among veterans (Greenberg et al., 2022; Harpaz-Rotem et al., 2022) and evidence-based treatments for PTSD are widely available in Veterans Affairs Healthcare Systems. However, rates of treatment seeking for PTSD remain low (Hoge et al., 2014; Lehavot et al., 2018; Maguen et al., 2020), due in part to knowledge gaps, perceived treatment readiness, shame, stigma, pride in self-reliance, and trauma-related avoidance (Zinzow et al. 2012). AboutFace is an online peer-based digital storytelling intervention that was developed to overcome many of these barriers to service seeking, including knowledge, perceived readiness, and stigma.

OBJECTIVE

The current randomized controlled trial compared the efficacy of AboutFace to a psychoeducational brochure that addressed stigma and PTSD treatment engagement among veterans recommended for PTSD treatment.

METHODS

A total of N=330 veterans who had presented for an intake at a PTSD specialty clinic were randomized to either AboutFace [n=165] or a a psychoeducational brochure condition [n=165] and assessed across primary outcomes of treatment engagement and secondary measures of stigma/attitudes about treatment seeking and PTSD, depression, and quality of life at baseline and at 1, 3, and 6 months.

RESULTS

There were no statistically significant group differences in primary or secondary outcomes at post or follow-up assessments. Among participants who spent at least 15 minutes on AboutFace, there was a marginal increase in treatment initiation. However, sensitivity analyses conducted with participants randomized before the initiation of a pre-treatment phone call suggests the potential benefit of AboutFace as a brief intervention for increasing PTSD treatment initiation among individuals considering PTSD treatment.

CONCLUSIONS

Within VA, AboutFace can be effective for increasing attendance even among veterans who have made initial steps to initiate treatment; and it has the potential to have an even greater clinical impact among veterans who are just beginning to contemplate if treatment is right for them. AboutFace is also cost effective and scalable relative to interventions that must be delivered by a provider.

CLINICALTRIAL

The Use of a Novel Peer Education Program for Improving PTSD Treatment Engagement Among Veterans (AboutFace)
NCT03521999
https://clinicaltrials.gov/study/NCT03521999?cond=aboutface&rank=2
Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study (Preprint)
Authors: Jaiswal Aditi , Washington Peter
Published: September 2023

BACKGROUND

The increasing use of social media platforms has given rise to an unprecedented surge in user-generated content, with millions of individuals publicly sharing their thoughts, experiences, and health-related information. Social media can serve as a useful means to study and understand public health. Twitter (subsequently rebranded as “X”) is one such social media platform that has proven to be a valuable source of rich information for both the general public and health officials. We conducted the first study applying Twitter data mining to autism screening.

OBJECTIVE

This study used Twitter as the primary source of data to study the behavioral characteristics and real-time emotional projections of individuals identifying with autism spectrum disorder (ASD). We aimed to improve the rigor of ASD analytics research by using the digital footprint of an individual to study the linguistic patterns of individuals with ASD.

METHODS

We developed a machine learning model to distinguish individuals with autism from their neurotypical peers based on the textual patterns from their public communications on Twitter. We collected 6,515,470 tweets from users’ self-identification with autism using “#ActuallyAutistic” and a separate control group to identify linguistic markers associated with ASD traits. To construct the data set, we targeted English-language tweets using the search query “#ActuallyAutistic” posted from January 1, 2014, to December 31, 2022. From these tweets, we identified unique users who used keywords such as “autism” OR “autistic” OR “neurodiverse” in their profile description and collected all the tweets from their timeline. To build the control group data set, we formulated a search query excluding the hashtag, “-#ActuallyAutistic,” and collected 1000 tweets per day during the same time period. We trained a word2vec model and an attention-based, bidirectional long short-term memory model to validate the performance of per-tweet and per-profile classification models. We also illustrate the utility of the data set through common natural language processing tasks such as sentiment analysis and topic modeling.

RESULTS

Our tweet classifier reached a 73% accuracy, a 0.728 area under the receiver operating characteristic curve score, and an 0.71 F1-score using word2vec representations fed into a logistic regression model, while the user profile classifier achieved an 0.78 area under the receiver operating characteristic curve score and an F1-score of 0.805 using an attention-based, bidirectional long short-term memory model. This is a promising start, demonstrating the potential for effective digital phenotyping studies and large-scale intervention using text data mined from social media.

CONCLUSIONS

Textual differences in social media communications can help researchers and clinicians conduct symptomatology studies in natural settings.
The National Football League and traumatic brain injury: blood-based evaluation at the game
Authors: Rauchman Steven H , Placantonakis Dimitris G , Reiss Allison B
Published: September 2023

Tweetable abstract

#brain #injury in the #football #player - we need better #diagnosis and #prevention. #view our #latest #publication in the #journal Concussion @futuresciencegp on @thegame #Blood test #biomarker #innovation #safety @NFL