bluuebunny/crossref_metadata_2025 huggingface dataset:
Successful Diagnosis and Treatment of Borrelia miyamotoi in a Patient with Joint and Muscle Pains, ME/CFS, and Cognitive Dysfunction following Tick Bites: A Case Report
Authors: Teulières Louis , Jia Ying , Clokie Martha , Shan Jinyu
Published: August 2024

Introduction: Diagnosing and managing Borrelia miyamotoi disease (BMD) is challenging due to its symptom overlap with Lyme disease (LD) and the lack of reliable laboratory diagnostics for BMD. This case study demonstrates the use of phage-based PCR (phb-PCR) to identify B. miyamotoi in a patient who had been bitten by ticks. Case presentation: A female patient aged 46 presented with joint and muscle pain, myalgic encephalomyelitis/chronic fatigue syndrome, and cognitive impairment after multiple tick bites in Europe. The patient was assessed for LD at the National Reference Centre in Strasbourg using Enzyme-linked immunosorbent assay (ELISA) and immunoblot. Additional diagnostics involved screening for Bartonella and Anaplasma antibodies using indirect immunofluorescence, and tests for antinuclear antibodies to check for autoimmune conditions. All serological and immunological tests yielded negative results. However, the phb-PCR identified B. miyamotoi. Consequently, the patient received treatment for BMD with a regimen of intravenous ceftriaxone, oral azithromycin, and additional intravenous vitamin and mineral therapy. Post-treatment evaluations showed significant improvements in pain levels, cognitive abilities, and fatigue. Conclusion: This case highlights the importance of direct diagnostic methods like phb-PCR for identifying BMD when serological tests fail. Clinicians should consider B. miyamotoi testing for accurate and timely management of complex TBDs.
The Use of Remote Sensing for Maritime Surveillance for Security and Safety
Authors: Pandey Shivam Kumar , Kaneria Bansi
Published: August 2024

Maritime surveillance technology faces challenges of astronomical size in this vast ocean world—challenges vital to global security and environmental protection alike. Such as these may be reversible or not. Remotely sensed monitoring also uses photos taken from satellites, synthetic aperture radar (SAR) equipment, and unmanned aerial vehicles (UAVs) to fully monitor maritime activities but also ferret out suspicious behaviour like piracy, bootleg shipments, and illegal fishing. This mixed-method approach--quantitatively and qualitatively——measures the efficiency of difficulties associated with, and legal implications behind aerospace-monitored maritime surveillance. The results show that remote sensing provides a great deal of sea-level situational awareness; however, there are also many complex technical, operational, and legal issues, including information overcrowding, complications in integration, privacy issues, as well as the need for worldwide legal harmonisation. It ends with recommendations on ways to ultimately increase capacity, how to write standard procedures for secondary development and proposals for revising laws to absorb these new technologies. Its goal, therefore, is to benefit the global anti-maritime crime effort. Ultimately, though, it dreams that we might construct an entirely marine environment where all marine activities are conducted both safely and freely, without fear.
Infill Well Placement Optimization for Polymer Flooding in Offshore Oil Reservoirs Using an Improved Archimedes Opti-Mization Algorithm with Halton Sequence
Authors: Tang Engao , Zhang Jian , Xia Anlong , Jin Yi , Li Lezhong , Chen Jinju , Hu Biqin , Sun Xiaofei
Published: August 2024

Infill drilling is one of the most effective methods to improve the performance of poly-mer flooding. The difficulties related to infill drilling are determining the optimal numbers and placements of infill wells. In this study, an improved archimedes optimization algorithm with Halton sequence (HS-AOA) was proposed to overcome the aforementioned difficulties. First, to optimize the infill well placement for polymer flooding, an objective function that considered the economic influence of infill drilling was developed. Then, the novel optimization algorithm (HS-AOA) for infill well placement was developed by combining the AOA with the Halton se-quence. The codes were developed in MATLAB and connected to a commercial reservoir simula-tor CMG STARS to carry out the infill well placement optimization. Finally, the HS-AOA was compared to the basic AOA to confirm its reliability and then used to optimize the infill well placements for polymer flooding in a typical offshore oil reservoir. The results showed that the introduction of the Halton sequence into AOA effectively increased the diversity of the initial ob-jects in the AOA and avoided the HS-AOA trapping into the local optimal solutions. The HS–AOA outperformed the AOA. It was an effective approach to optimize the infill well placement for polymer flooding processes. In addition, infill drilling could effectively and economically im-prove the polymer flooding performance in offshore oil reservoirs. The NPV of the polymer flooding case with infill wells determined by HS-AOA reached 3.5 × 108 $, which was an increase of 7% over that of the polymer flooding case. This study presents an effective method for opti-mizing infill well placement for polymer flooding processes. It also can serve as a valuable refer-ence for other optimization problems in the petroleum industry, such as joint optimization of well control and placement.
Comparative Studies of Minamata Disease Between inside and outside of Japan: Focusing on Mercury Contamination in the Amazon
Authors: Yoshida Kunihiko
Published: August 2024

The Minamata Disease in Japan was one of the most notorious public nuisance cases in the 1960s and 70s, but is still ongoing “unfinished business” in terms of victims’ protection even after several decades of struggles. The world standard of epidemiological causation has still been applied in limited cases.

However, it has been pointed out in the international report that, in recent years, mercury contamination has decreased in countries in the Global North, except the Canadian Indigenous peoples’ case, at the same time that it has increased in the Global South. In the Amazon, many Indigenous peoples, most prominently, the Munduruku people in Para state and the Yanomami people in Roraima state, suffer from the Brazilian Minamata Disease due to mercury contamination differently as a typical case of global environmental injustice issues.

This paper discusses the comparative difference of the Minamata Disease between inside and outside Japan: In Japan, accumulated mercury contamination in Shiranui Bay of Kyushu due to the poisonous waste release by a big corporation named Chisso Co. was serious, while in the Amazon, contamination due to gold mining by ASGM has been much broader and more diffused. Thus, civil law damages litigation has historically worked despite some challenges in Japan, while it’s practically impossible to stop numerous small scale gold mining by judicial approach in the Amazon. Instead, the administrative regulation under the Lula administration contrasted to the Bolsonaro administration might be especially important, although it’s still limited, considering the global demand for gold and related continuous gold mining activities.

Minamata Disease symptoms among the Indigenous peoples along the Amazon are generally minor compared to the Japanese case, but they should also be considered the case from the liberal standard that criticizes the traditional stringent standard such as the Hunter=Russell criteria. However, facing the worsening situation of mercury contamination, the challenges in the Global South are serious: The effective measures for their global health are limited except for dietary education to avoid poisonous carnivorous fishes as opposed to herbivorous fishes. International assistance for providing clean water is also imminent agenda.
Examining Psychosocial Risks and Their Impact on Nurses' Safety Attitudes and Medication Error Rates: A Cross-Sectional Study
Authors: Tzenetidis Vasileios , Kotsakis Aristomenis , Gouva Mary , Tsaras Konstantinos , Malliarou Maria
Published: August 2024

The exposure of employees to specific risks is usually due to increasing levels of work-related stress, which negatively affects their skills and effectiveness in their job duties, lead-ing to the onset of physical/mental illnesses, mistakes, or even accidents. The aim of this study is to investigate the psychosocial risks experienced by nurses in tertiary hospitals in Greece and their association with their attitudes towards safety and the occurrence of medication errors. The research was conducted in four tertiary hospitals in Greece, with the participation of 514 nurses of all educational levels. Questionnaires were used to collect data on work-related stress, professional burnout, and medication errors. The results highlighted that psychosocial risks, such as high work pressure and lack of support, are directly linked to professional burnout and an increased likelihood of medication errors. The necessity of social support, job autonomy, and work-life balance are underscored as critical factors for reducing stress and improving the quality of care. Specific strategies are proposed to enhance the mental health of nurses and improve working conditions.
ncreasing Ages of Inga punctata Tree Soils Facilitate Greater Fungal Community Abundance and Successional Development, and Efficiency of Microbial Organic Carbon Utilization
Authors: Eaton William D , Hamilton Debra A
Published: August 2024

Leguminous Inga trees are thought to enhance soil carbon (C) accumulation following reforestation through mostly unknown mechanisms. This study amplified soil DNA using the ITS1F and ITS4 primers for PCR and Illumina MiSeq methods to identify fungal taxa, and traditional C analysis methods to evaluate how planted 4, 8, 11-year-old, Inga punctata trees affected soil fungal community compositions and C utilization patterns compared to old growth I. punctata trees and adjacent unplanted pasture within the same reforestation zone in Monteverde, Costa Rica. Along the tree age gradient the planted I. punctata trees enhanced the tree soil C-capture capacity as indicated by increased levels of soil Biomass-C, Respiration, and efficiency of organic C use (as lower qCO2 values), and development of increasingly more abundant, stable and successionally developed fungal communities, including those associated with decomposition of complex organic C compounds. The level and strength of differences coincided with differences in time of separation between the pasture and tree age or between the different tree ages. Fungal taxa were also identified as potential indicators of early and late stages of soil recovery. Thus, planting I. punctata should be part of future reforestation strategies used in this region of Costa Rica.
Comparative Study of Computational Methods for Classifying Red Blood Cell Elasticity
Authors: Bachratý Hynek , Novotný Peter , Smiešková Monika , Bachratá Katarína , Molčan Samuel
Published: August 2024

The elasticity of red blood cells (RBCs) is crucial for their ability to fulfill their role in the blood. Decreased RBC deformability is associated with various pathological conditions. This study explores the application of machine learning to predict the elasticity of RBCs using both image data and detailed physical measurements derived from simulations. We simulated RBC behavior in a microfluidic channel. The simulation results provided the basis for generating data on which we applied machine learning techniques. We analyzed the surface-area-to-volume ratio of RBCs as an indicator of elasticity, employing statistical methods to differentiate between healthy and diseased RBCs. The Kolmogorov–Smirnov test confirmed significant differences between healthy and diseased RBCs, though distinctions among different types of diseased RBCs were less clear. We used decision tree models, including random forests and gradient boosting, to classify RBC elasticity based on predictors derived from simulation data. The comparison of the results with our previous work on deep neural networks shows improved classification accuracy in some scenarios. The study highlights the potential of machine learning to automate and enhance the analysis of RBC elasticity, with implications for clinical diagnostics.
Mobile Spatiotemporal Gait Segmentation Using an Ear-Worn Motion Sensor and Deep Learning
Authors: Decker Julian , Boborzi Lukas , Schniepp Roman , Jahn Klaus , Wuehr Max
Published: August 2024

Mobile health technologies enable continuous, quantitative assessment of mobility and gait in real-world environments, facilitating early diagnosis of gait disorders, disease progression monitoring, and prediction of adverse events like falls. Traditionally, mobile gait assessment predominantly relied on body-fixed sensors positioned at the feet or lower trunk. Here, we investigate the potential of an algorithm utilizing an ear-worn motion sensor for spatiotemporal segmentation of gait patterns. We collected 3D acceleration profiles from the ear-worn sensor during varied walking speeds in 53 healthy adults. Temporal convolutional networks were trained to detect stepping sequences and predict spatial relations between steps. The resulting algorithm, mEar, accurately detects initial and final ground contacts (F1 score of 99% and 91%, respectively). It enables determination of temporal and spatial gait cycle characteristics (among others stride time and stride length) with good to excellent validity at a precision sufficient to monitor clinically relevant changes in walking speed, stride-to-stride variability, and side asymmetry. This study highlights the ear as a viable site for monitoring gait and proposes its potential integration with in-ear vital sign monitoring. Such integration offers a practical approach to comprehensive health monitoring and telemedical applications, by integrating multiple sensors in a single anatomical location.
Microbiome—Stealth Regulator of Breast Homeostasis and Cancer Metastasis
Authors: Furuta Saori
Published: August 2024

Cumulative evidence attests to the essential roles of commensal microbes in the physiology of the hosts. Although microbiome has been a major research subject since the time of Luis Pasteur and William Russell over 140 years ago, recent findings that certain intracellular bacteria contribute to the pathophysiology of healthy or diseased tissues have brought the field of microbiome to a new era of investigation. In particular, in the field of breast cancer research, breast-tumor resident bacteria are deemed to be the essential players of tumor initiation and progression. This is a resurrection of Russel’s bacterial cause of cancer theory abandoned over 100 years ago. This review will introduce some of the recent findings that exemplify the roles of breast tumor-resident microbes in breast carcinogenesis and metastasis and provide mechanistic explanations of these phenomena. Such information would be able to justify the utility of breast-tumor resident microbes as biomarkers for disease progression and therapeutic targets.
What We Know about Nasal Polyposis: The Clinician’s Point of View
Authors: Eloy Philippe , Musat Gabriela
Published: August 2024

Nasal polyposis is defined by a Th2-driven chronic inflammation of the nose and sinus with polyps visible in the nasal fossae. It is a prevalent disease with a significant impact on the HRQL. Allergy, allergic rhinitis, asthma, and aspirin intolerance are frequently associated. The management is individual. The first line of treatment is a long-term treatment with intranasal corticosteroids. Oral corticosteroids should be used with caution. When the medical treatment fails the patient is eligible for sinus surgery. In case of symptomatic recurrence after both medical treatment and ethmoidectomy, biologics are nowadays a very promising treatment effective on all the respiratory tract. Dupilumab seems in the literature the molecule of choice. However, besides the international guidelines published by EPOS and Euforea, the molecule prescribed depends also on the availability of it in each country and the criteria edited by the health authorities to get reimbursement. Long treatment is mandatory. Traditional medical treatment is necessary as a complement to biologics.
Topic Modeling as a Tool to Identify Research Diversity: A Study Across Dental Disciplines
Authors: Colangelo Maria Teresa , Guizzardi Stefano , Galli Carlo
Published: August 2024

This study investigates the diversity and evolution of research topics within the dental sciences from 1994 to 2023 using topic modeling and Shannon's entropy as a measure of research diversity. We analyzed a dataset of 412036 scientific articles across six dental disciplines: Orthodontics, Pros-thodontics, Periodontics, Implant Dentistry, Oral Surgery, and Restorative Dentistry. This research relies on BERTopic to identify distinct topics within each field. The study revealed significant shifts in research focus over time, with some disciplines exhibiting robust growth in article numbers such as Periodontics and Prosthodontics. The application of Shannon's entropy revealed an increasing diversification of research efforts in disciplines such as Restorative Dentistry, while others, like Prosthodontics, in spite of their size and their high number of research topics, maintain a more specialized research focus. Taken together, our findings describe the dynamic nature of dental re-search and highlight the balance shifts in research focus across several key areas of Dentistry.
Assessment of Wound Bed Delivery of Galectin-3 to Modulate Macrophage Polarization, Re-epithelialization and Collagen Synthesis in a Murine Model of Excisional Skin Healing
Authors: McLeod Karrington M , Dr Gregerio Madeleine , Tinney Dylan , Carmichael Justin JW , Zuanazzi David , Siqueira Walter L. , Rizkalla Amin , Hamilton Douglas William
Published: August 2024

Chronic wounds remain trapped in a pro-inflammatory state, with strategies targeted at inducing re-epithelialization and the proliferative phase of healing desirable. A member of the lectin family, galectin-3 is implicated in regulation of macrophage phenotype and epithelial migration. We investigated if local delivery of galectin-3 enhanced skin healing in a full thickness excisional C57BL/6 mouse model. An electrospun gelatin scaffold loaded with galectin-3 was developed and compared to topical delivery of galectin-3. Electrospun gelatin/galectin-3 scaffolds had an average fiber diameter of 200 nm, with 83% scaffold porosity approximately and am average pore diameter of 1.15 μm. The developed scaffolds supported dermal fibroblasts adhesion, matrix deposition and proliferation in vitro. In vivo treatment of 6 mm full thickness excisional wounds with gelatin/galectin-3 scaffolds did not influence wound closure, re-epithelialization or macrophage phenotypes, but increased collagen synthesis. In comparison, topical delivery of galectin-3 [6.7 µg/ml] significantly increased arginase-I cell density at day 7 versus untreated and gelatin/galectin-3 scaffolds (p<0.05). Preliminary assessment of increasing the concentration of topical galectin-3 demonstrated that at day 7, galectin-3 [12.5 µg/ml] significantly increased both epithelial migration and collagen content in a concentration dependent manner. In conclusion, local delivery of galectin 3 shows potential efficacy in modulating skin healing in a concentration dependent manner.
Collagen and Its Derivatives Serving Biomedical Purposes: A Review
Authors: Wosicka-Frąckowiak Hanna , Poniedziałek Kornelia , Woźny Stanisław , Kuprianowicz Mateusz , Nyga Martyna , Jadach Barbara , Milanowski Bartłomiej
Published: August 2024

Biomaterials have been the subject of extensive research, with their applications in medicine and pharmacy expanding rapidly. Collagen and its derivatives stand out as valuable biomaterials due to their high biocompatibility, biodegradability, and lack of toxicity and immunogenicity. This review comprehensively examines collagen from various sources, its extraction and processing methods, and its structural and functional properties. Preserving the native state of collagen is crucial for maintaining its beneficial characteristics. The challenges associated with chemically modifying collagen to tailor its properties for specific clinical needs are also addressed. The review discusses various collagen-based biomaterials, including solutions, hydrogels, powders, sponges, scaffolds, and thin films. These materials have broad applications in regenerative medicine, tissue engineering, drug delivery, and wound healing. Additionally, the review highlights current research trends related to collagen and its derivatives. These trends may significantly influence future developments, such as using collagen-based bioinks for 3D bioprinting or exploring new collagen nanoparticle preparation methods and drug delivery systems.
RESPONSIBILITY IN THE SYSTEM OF LEADER ATTRIBUTATIVE TRAITS
Authors: Ponomaryov Olexandr , Kharchenko Alla , Kvasnyk Olha
Published: August 2024

The essence of the concept of the leader's responsibility is clarified and its place in the general hierarchical system of attribute traits and qualities of his personality is substantiated. The peculiarities of the significant increase in the importance of the leader's responsibility in the conditions of the innovative nature of social, scientific, technical and technological development are revealed. It is shown that responsibility is an important prerequisite for the ability of a leader to successfully fulfill his social mission.The results of the development, implementation and use of innovative pedagogical technologies for the identification of potential leaders in the student environment and their formation, instillation and development of responsibility directly in the educational process of a higher school are given. The need to instill in students an understanding of the importance of responsibility, awareness of the need for it, and constant self-development of their personal responsibility as specialists and leaders is highlighted.
Artificial Intelligence Models Are Limited in Predicting Clinical Outcomes Following Hip Arthroscopy
Authors: Mehta Apoorva , El-Najjar Dany , Howell Harrison , Gupta Puneet , Arciero Emily , Marigi Erick M. , Parisien Robert L. , Trofa David P.
Published: August 2024

Background:

Hip arthroscopy has seen a significant surge in utilization, but complications remain, and optimal functional outcomes are not guaranteed. Artificial intelligence (AI) has emerged as an effective supportive decision-making tool for surgeons. The purpose of this systematic review was to characterize the outcomes, performance, and validity (generalizability) of AI-based prediction models for hip arthroscopy in current literature.

Methods:

Two reviewers independently completed structured searches using PubMed/MEDLINE and Embase databases on August 10, 2022. The search query used the terms as follows: (artificial intelligence OR machine learning OR deep learning) AND (hip arthroscopy). Studies that investigated AI-based risk prediction models in hip arthroscopy were included. The primary outcomes of interest were the variable(s) predicted by the models, best model performance achieved (primarily based on area under the curve, but also accuracy, etc), and whether the model(s) had been externally validated (generalizable).

Results:

Seventy-seven studies were identified from the primary search. Thirteen studies were included in the final analysis. Six studies (n = 6,568) applied AI for predicting the achievement of minimal clinically important difference for various patient-reported outcome measures such as the visual analog scale and the International Hip Outcome Tool 12-Item Questionnaire, with area under a receiver-operating characteristic curve (AUC) values ranging from 0.572 to 0.94. Three studies used AI for predicting repeat hip surgery with AUC values between 0.67 and 0.848. Four studies focused on predicting other risks, such as prolonged postoperative opioid use, with AUC values ranging from 0.71 to 0.76. None of the 13 studies assessed the generalizability of their models through external validation.

Conclusion:

AI is being investigated for predicting clinical outcomes after hip arthroscopy. However, the performance of AI models varies widely, with AUC values ranging from 0.572 to 0.94. Critically, none of the models have undergone external validation, limiting their clinical applicability. Further research is needed to improve model performance and ensure generalizability before these tools can be reliably integrated into patient care.

Level of Evidence:

Level IV. See Instructions for Authors for a complete description of levels of evidence.
Penggunaan Aplikasi Tiktok Sebagai Media Pembelajaran Untuk Meningkatkan Minat Belajar Peserta Didik Di Era Globalisasi Digital
Authors: Fauziyah Nurul , Ramadhini Ariani , Wardhana Kautsar Eka , Hidayat Ahmad Fadhel Syakir
Published: August 2024

Pendidikan pada era globalisasi saat ini dalam penggunaan teknologi digital sangat dimaksimalkan, salah satunya yaitu sebagai penunjang proses kegiatan belajar mengajar yang dilakukan pendidik bagi peserta didik. Pemanfaatan teknologi sebagai media pembelajaran salah satunya yaitu menggunakan aplikasi TikTok sebagai media penunjang proses pembelajaran yang bertujuan untuk meningkatkan minat belajar peserta didik. Dengan adanya aplikasi TikTok sebagai media pembelajaran maka akan banyak model pembelajaran yang bisa diterapkan sehingga dapat berpengaruh pada minat belajar peserta didik. Selain pengaruh positif ada pula pengaruh negatif dari penggunaan aplikasi TikTok. Sehingga diharapkan bagaimana pendidik dapat kreatif dan cermat dalam penggunaan media tersebut agar berjalan dengan efektif dan peserta didik bijak dalam menggunakannya.
Pengembangan Madrasah melalui Marketing Mix (Bauran Pemasaran) dalam Pemasaran Jasa Pendidikan
Authors: Rusdi Rusdi , Abidin Siti Hajar Awaliyah
Published: August 2024

Abstrak
 
Sekolah yang berkualitas bisa dilihat dari strategi pemasaran yang baik. Pemasaran yang baik tentu memiliki dampak pada adanya peminat dan kepercayaan masyarakat sehingga menghasilkan jumlah peserta didik yang banyak. MTs Labbaika Samarinda mengalami peningkatan jumlah peserta didik yang setiap tahunnya meningkat. Hal ini menjadi gambaran positif bagi sekolah dalam peningkatan mutu pendidikan yang dibuktikan dengan upaya-upaya yang sangat kreatif, inovatif serta memperoleh keunggulan tersendiri bagi sekolah. Tujuan dari penelitian ini yaitu untuk mengetahui strategi pemasaran jasa pendidikan dalam peningkatan peserta didik di MTs Labbaika Samarinda. Penelitian lapangan ini menggunakan pendekatan deskriptif kualitatif. Hasil penelitian ini menunjukkan bahwa strategi pemasaran pendidikan yang dilakukan di MTs Labbaika Samarinda Sangat Baik, yaitu dengan menerapkan Unsur 8P: 1) Product, Menawarkan produk berupa prestasi akademik maupun non akademik yang pernah diraih siswa. 2) Price, Harga yang ditetapkan cukup murah dengan biaya SPP Rp. 195.000 per bulan, dan ada keringanan biaya untuk Siswa/i yang kurang mampum namun biaya murah tetap mampu memberikan pelayanan maksimal 3) Place, Terletak di tempat yang strategis, karena sangat mudah dijangkau oleh masyarakat. 4) Promotion, Promosi yang dilakukan MTs Labbaika melalui Media cetak (brosur), Media Sosial (facebook, instagram, whatsapps). 5) People, SDM yang dimiilki MTs Labbaika cukup baik karena dilihat dari status pendidikan, sudah memenuhi kualifikasi yaitu Sarjana (S1). 6) Physical Evidence, sarana dan prasarana MTs Labbaika sudah memadai dan sangat menunjang proses pembelajaran. 7) Process, Sudah terlaksana sesuai dengan urutan, dimulai dari perencanaan hingga pengevaluasian akhir dari kegiatan pemasaran. 8) Pray, Menerapkan nilai-nilai spritual.
Penanaman Nilai-Nilai Sosial Keagamaan di Lembaga Kesejahteraan Sosial Anak (LKSA) Istiqamah Muhammadiyah Samarinda
Authors: Rosita Rosita , Khojir Khojir , Janah Fathul
Published: August 2024

Penelitian ini bertujuan untuk menganalisis pelaksanaan dan hasil implementasi penanaman nilai-nilai sosial keagamaan di LKSA Istiqamah Muhammadiyah. Penelitian berjenis kualitatif deskriptif, menggunakan pendekatan fenomenologi dan sosiologi. Data terdiri dari komponen lembaga dan sumber data diperoleh dari data primer dan sekunder. Teknik pengumpulan data menggunakan observasi, wawancara dan dokumentasi. Teknik analisis data menggunakan analisis data tunggal dan analisis Multi-situs. Uji keabsahan data menggunakan triangulasi sumber data, teori dan metode. Hasil penelitian menunjukkan bahwa: (1) Nilai-nilai sosial keagamaan yang ditanamkan adalah sifat amanah/jujur, tolong-menolong, sedekah, uhkuwah Islamiyah dan iffah. (2) Pelaksanaan penanaman nilai dilakukan melalui tiga tahapan, yaitu tahap transformasi nilai, transaksi nilai dan transinternalisasi, melalui kegiatan yang terjadwal dan rutin dilakukan, seperti ceramah, kajian keagamaan, hadis masjid, edukasi (video youtube), renungan, teladan, pembiasaan, pemberian tugas belajar, kontroling, pemberian hukuman (sangsi soial), nasehat, pembentukan karakter, sharing ilmu, diskusi, praktik dan piket harian, kerja kelompok dan lapangan, berbagi, ahad bersih dan puasa. (3) Hasil implementasi penanaman nilai-nilai sosial keagamaan, bahwa anak membiasakan bertutur kata dan berbuat yang dapat dipertanggungjawabkan serta konsisten dengan perintah agama, menunjukkan sifat saling bekerjasama dan tolong-menolong sebagai cerminan iman, anak bersedekah dengan mengajarkan ilmu pengetahuan, bersedekah dengan tenaga, makanan, senyuman, memberi makan hewan dan sedekah barang/benda, anak saling mengenal, bersatu, memahami, perhatian, membantu dalam kebaikan, menolong, anak juga dapat menjaga diri dari perbuatan zina, segala bentuk penzaliman, sifat khianat dan dapat menahan lisan dari hal buruk. (4) Sarana prasarana pendukung kegiatan cukup baik dan memadai walaupun ada kendala namun kegiatan dapat berjalan lancar sesuai tujuan dan visi misi lembaga.
Meningkatkan Kualitas Belajar Anak Didik Dalam Memahami Kandungan Surah Al-Humazah Kelas II Di MIS Nurul Hikmah AFD VI Tinjowan I
Authors: Sari Sri Wulan , Alfiansyah Muhammad , Amalia Rizka , Nurfadillah Annisa
Published: August 2024

This study describes several ways to improve the quality of students in understanding the content of surah al-Humazah in class II at MIS Nurul Hikmah. The type of research used in this paper is descriptive qualitative. Then for the data collection technique used by using interviews and also accompanied by various sources of reading literature from books and from various journals related to this discussion. The results of this study indicate that there are several ways that can be done to improve the learning quality of students in understanding the content of surah al-Humazah in class II MIS Nurul Hikmah, namely: 1) Provide an understanding of sura al-Humazah and then recite it regularly before learning begins, 2) Using supportive learning media, 3) The teacher must have creativity in teaching and dealing with the attitudes and behavior of class II MI students so that the teaching and learning process runs smoothly. As for the obstacles in efforts to improve the quality of students in understanding the content of surah al-Humazah in class II MI, namely the lack of concentration of students in the learning process, inadequate learning media, and the lack of teacher ability in teaching.
Analisis Kemampuan Penalaran Masalah Matematis Siswa SD Dalam Menyelesaikan Soal Persegi Panjang
Authors: Yonanda Diana Primari , Putri Nisa Wandiana , Riswari Lovika Ardana
Published: August 2024

Pada penelitian ini memiliki tujuan untuk menganalisa bagaimana ketrampilan penalaran matematik siswa SD dalam menyelesaikan soal persegi panjang. Pada penelitian ini dilakukan dengan melibatkan seluruh siswa kelas IV yang berjumlahi 20 siswa di SD 6 Bulungcangkring, Jekulo, Kudus. Perangkat penelitian berbentuk ujian tertulis dengan cara  pengerjaan 5 butir soal cerita. Analisis data menggunakan deskriptif kualitatif dari hasil tes yang dikerjakan siswa. Dalam penilaian ketrampilan penalaran matematik dikategorikan jadi 3 macam yakni : kategori tinggi, kategori sedang dan kategori rendah. Kategori tinggi bila siswa dapat mencapai 4 indikator, kategori sedang bila siswa dapat mencapai setidaknya 2 sampai 3 indikator, kategori rendah bila siswa dapat mencapai setidaknya 0 sampai 1 indikator.  Hasil  analisa menunjukkan bahwa ketrampilan penalaran matematk siswa kelas IV SD 6 Bulungcangkring, Jekulo, Kudus dalam menyelesaikan soal persegi panjang termasuk di kategori tinggi dengan jumlah 10 siswa, masuk di kategori sedang dengan jumlah 8 siswa dan masuk kategori rendah dengan jumlah 2 siswa.
Analisis Kemampuan Pemecahan Masalah Matematis Pada Materi Bangun Datar Siswa Kelas V SD Tambirejo Demak
Authors: Setiyawati Heny Septyan , Putri Rizqi Dian Yulia , Riswari Lovika Ardana
Published: August 2024

This study aims to determine and analyze the mathematical problem solving abilities of SD Tambirejo student. This study used qualitative research methods.The subject of the research taken were 37 students. Data collection was carried out bay providing problem solving test questions in the form of 4 description questions with flat shape material.The analysis was carried out with the attainment of indicators of mathematical problem ability in Harisuddin’s writing, namely there were 4 indicators of mathematical problem solving with each questions fulfilling the indicators.The result of the reseach from the data that had been taken sowed that there were 25 student who answered incorrectly on questions number 4 and on questions number 1 to 3 student were still able to descrip their answers in the correct way.
Perencanaan Strategik dalam Membangun Mutu Pendidikan di Madrasah Syaichona Kholil Teluk Pandan
Authors: Setiyati Setiyati , Tarman Tarman , Metta Metta , Warman Warman
Published: August 2024

Educational planning within schools especially at Islamic school plays a pivotal role in shaping the academic journey and overall development of students. This article explores various facets of effective educational planning and its significance in fostering a conducive learning environment. Through a comprehensive review of literature and case studies, the article delves into the importance of long-term strategic planning, curriculum alignment, and resource allocation in achieving educational objectives. Additionally, it examines the role of stakeholder engagement and collaboration in the planning process, emphasizing the need for inclusive decision-making to address diverse student needs. Furthermore, the article discusses the integration of technology and data-driven approaches in educational planning, highlighting their potential to enhance efficiency and effectiveness. By elucidating these key elements, this article aims to provide insights and practical strategies for educators and school administrators to optimize educational planning and facilitate holistic student development.
The Open Defecation Free Program Evaluation Using the Context, Input, Process, and Product Model in Jambi, Indonesia Authors
Authors:   Universitas Jambi, Jambi, Guspianto Guspianto , Novita Eka Rini Willia ,   Universitas Jambi, Jambi, Wardiah Rizalia ,   Universitas Jambi, Jambi, Desmaryani Susi ,   Regional Research and Development Agency of Jambi Province, Jambi, Herlina Herlina ,   Institute of Economic Science Jambi, Jambi
Published: August 2024

The Open Defecation Free (ODF) program was initiated by the government to increase access to healthy latrines. This study aimed to evaluate the ODF program using the CIPP evaluation model. A qualitative and exploratory descriptive method was adopted to investigate informants' experiences regarding the program's implementation. Data was explored through semi-structured interviews with 17 informants and analyzed using content analysis. The results showed that the program was crucial as numerous people engaged in open defecation due to economic, geographical, cultural, and knowledge factors. The absence of ODF policy was due to lack of priority, limited government and private support, insufficient human resources, inadequate infrastructure, and budget constraints. The ODF program was considered unimportant and tended to follow stunting programs, reflecting the low commitment. The biggest opportunity was implementing an integrated ODF with a stunting reduction program by allocating a special budget. Thus, primary health care is expected to optimize activities further to trigger the ODF program within the environment.
Complete Dose of Hepatitis B Vaccination Among Children in Indonesia and Factors Associated: A Community-Based Study
Authors:   Universitas Indonesia, Machmud Putri Bungsu , Gayatri Dwi , Astutik Erni ,   Universitas Airlangga
Published: August 2024

Hepatitis B vaccination is widely recognized as the most effective way to prevent hepatitis B infection, yet the rate of complete vaccination among Indonesian children remains low. This study aimed to evaluate the extent of hepatitis B vaccination coverage among children and identify potential associated factors in Indonesia. A community-based cross-sectional study was conducted. The study involved 7,860 Indonesian mothers of children aged 12-59 months, providing data on their children's hepatitis B vaccination status and other relevant factors from the 2017 Indonesian Demographic Health Survey. Overall, the rate of complete hepatitis B vaccination among children was relatively high (89.8%). Several factors were found to be associated with complete hepatitis B vaccination among children: living in Java, the Lesser Sunda Islands, Kalimantan, and Sulawesi compared to Sumatra; having an older mother; having parents with secondary or higher education compared to no education; having an employed mother; belonging to middle or high economic status compared to low economic status; having mothers using media irregularly or regularly, as opposed to never using media; having health insurance; and having a larger family size. These findings highlight the need for further interventions to optimize childhood hepatic vaccination coverage, which health policymakers should support.
Calidad de la atención de los servicios de salud
Authors: Flores-Hernández Sergio , Pérez-Cuevas Ricardo , Dreser-Mansilla Anahí , Doubova Svetlana V , Díaz-Portillo Sandra Patricia , Reyes-Morales Hortensia
Published: August 2024

Objetivo. Analizar, con datos de la Encuesta Nacional de Salud y Nutrición (Ensanut) 2018 y Ensanut Continua 2022, la calidad de atención otorgada en distintas etapas de la vida en el sistema de salud de México. Material y métodos. Se categorizó el sistema de salud en tres subsistemas, dos públicos y un privado. Se estimaron porcentajes ponderados de cada encuesta para indicadores seleccionados en la atención de distintas etapas de la vida. Resultados. En los tres subsistemas persisten deficiencias en el proceso de atención en control prenatal, resolución del parto, vacunación al nacimiento, uso de antibióticos en infecciones respiratorias agudas en menores y detección de factores de riesgo, complicaciones y baja prescripción de insulina en adultos con diabetes, a pesar del aumento en la duración de la consulta médica. La preferencia para buscar atención en servicios privados fue por cercanía y rapidez en la atención. Conclusiones. La baja calidad de atención en el sistema de salud de México requiere estrategias innovadoras dirigidas a brindar atención integral en el curso de la vida.
Anemia en población infantil y en mujeres en edad reproductiva
Authors: Mejía-Rodríguez Fabiola , De la Cruz-Góngora Vanessa , García-Guerra Armando , Mundo-Rosas Verónica , Villalpando Salvador , Méndez-Gómez-Humarán Ignacio , Duque Ximena , Neufeld Lynnette M , Lutter Chessa , Shamah-Levy Teresa
Published: August 2024

Objetivo. Describir la prevalencia de anemia en población infantil y mujeres de 12-49 años de la Encuesta Nacional de Salud y Nutrición (Ensanut) Continua 2022 y 2023 y otorgar recomendaciones para tomadores de decisiones. Material y métodos. Se obtuvo sangre venosa para medir la concentración de hemoglobina in situ utilizando el Hemocue 201+ en 619 preescolares (1-4 años), 1 395 escolares (5-11 años) y 2 170 mujeres de 12-49 años no embarazadas. La anemia se clasificó según los criterios de la Organización Mundial de la Salud. Los resultados y análisis bivariados se realizaron en Stata v15 considerando el diseño complejo de la encuesta. Resultados. La prevalencia de anemia fue de 9.4% en preescolares, 3.2% en escolares y 12.4% en mujeres de 12-49 años. Se observó mayor prevalencia de anemia en zonas rurales vs. urbanas y en mujeres de mayor edad y menor nivel educativo. Conclusiones. En preescolares y mujeres adultas la anemia es un problema leve de salud pública que requiere acciones preventivas y de control. La vigilancia continua es clave para orientar programas de prevención y control y alinear las políticas públicas con los objetivos del desarrollo sostenible.
Prácticas de alimentación complementaria
Authors: Ramírez-Silva Ivonne , Rivera-Pasquel Marta , Bonvecchio-Arenas Anabelle , Unar-Munguía Mishel , Lozada-Tequeanes Ana Lilia , Valderrama-Alvarez Zaira , Lopez-Alarcón Mardya , González-Castell Dinorah
Published: August 2024

Objetivo. Evaluar el cumplimiento de las prácticas de alimentación complementaria (PAC) de acuerdo con las recomendaciones de las Guías Alimentarias Saludables y Sostenibles de México para infantes y niñas/os pequeños (GASS), documentar las principales barreras existentes para PAC óptimas y formular recomendaciones de política pública para su atención. Material y métodos. Se utilizaron datos de la Ensanut Continua de 2021 a 2023 para evaluar la adherencia de las PAC a las GASS mediante un índice que valoró cinco dimensiones (edad de introducción, edad óptima de introducción, lactancia materna continuada, consumo de alimentos recomendados y frecuencia de tiempos de comida) (asignando 1 o 0 puntos por cumplimiento). Asimismo, se identificaron las principales barreras para las PAC óptimas y se formularon recomendaciones a la política pública. Resultados. La mitad de niñas/os de 6-23 meses tuvo un índice de cumplimiento (IC) de ~50.9/100 (IC95% 45.5-50.0) o menos a las recomendaciones de las GASS. El cumplimiento disminuyó conforme aumentó la edad. Existen barreras estructurales, sociales, culturales e individuales afectan las PAC. Conclusiones. Es imperativo mejorar las PAC a fin de cumplir con el “Derecho a la Salud” en niñas/os <24 meses. Para ello se requiere actualizar las normas (de acuerdo con lineamientos nacionales e internacionales actuales y con las guías alimentarias saludables y sostenibles); fortalecer el servicio de atención primaria a través de la implementación a nivel nacional de la recién diseñada estrategia de mil días, que contempla un componente importante de PAC, y la capacitación del personal de salud en estos temas.
Detección, atención y control de hipertensión arterial
Authors: Campos-Nonato Ismael , Oviedo-Solís Cecilia , Hernández-Barrera Lucía , Márquez-Murillo Manlio , Gómez-Álvarez Enrique , Alcocer-Díaz Luis , Puente-Barragán Adriana , Ramírez-Villalobos Dolores , Basto-Abreu Ana , Rojas-Martínez Rosalba , Medina-García Catalina , López-Ridaura Ruy , Barquera Simón
Published: August 2024

Objetivo. Describir la prevalencia de adultos con hipertensión arterial (HTA) diagnosticada, tratada y controlada, utilizando el marco de las cascadas de atención en la Encuesta Nacional de Salud y Nutrición (Ensanut) 2020-2023. Material y métodos. Se analizó la información de 3 094 adultos ≥20 años de edad. Los adultos con HTA (n= 1 059) fueron el denominador de la cascada de atención, considerando las pérdidas acumuladas en la proporción de adultos diagnosticados con HTA, tratados y controlados. Se identificó a las personas con adherencia al tratamiento farmacológico. Resultados. La prevalencia de HTA fue de 29.9% (mujeres 27.6% y hombres 32.5%). El 43.0% de los adultos con HTA no habían sido diagnosticados y sólo 36.3% de los diagnosticados y tratados con fármacos tenía valores de presión arterial (PA) bajo control. Entre las personas diagnosticadas con HTA que tomaban regularmente fármaco antihipertensivo (75.3%), sólo 42.1% tuvo valores de PA controlada. El 52.1% de los adultos con hipertensión no realizaba ninguna medida no farmacológica para controlar la PA elevada. Conclusiones. Se encontró un bajo desempeño del sistema de salud para diagnosticar y controlar la HTA. Se requiere una estrategia poblacional, pronta y concertada para reducir la carga de la HTA y evitar complicaciones, discapacidad y muerte prematura por accidente cerebrovascular o cardiopatía isquémica.
A digital liver twin demonstrating the interplay between biomechanics and cell kinetics can explain fibrotic scar formation
Authors: Drasdo Dirk , Zhao Jieling , Hammad Seddik , de Langlard Mathieu , Erdoesi Pia , Li Yueni , Liedekerke Paul Van , Buttenschoen Andreas , Winkler Manuel , Kürschner Sina , Reiners-Koch Philipp-Sebastian , Grabe Niels , Wolf Stephanie , Bode Johannes , Hengstler Jan , Ebert Matthias , Dooley Steven
Published: August 2024

Formation of liver fibrosis patterns is a complex process that can only be marginally investigated experimentally. A digital twin (DT), a computational model of the liver, is warranted, as it permits integration and modulation of multiple mechanisms. We develop a DT on chronic injury-mediated formation of CCl4-induced septal fibrosis based on experimental iterations. This DT closely reproduces the spatial-temporal pattern of hepatocytes, hepatic stellate cells (HSCs), macrophages (Mphs), collagen fibers secreted by activated HSCs, blood vessels and cell-cell communication through literature and quantitative imaging. It simulates formation of septal fibrosis and predicts that attraction of activated HSCs and Mphs is controlled by hepatocytes, damaged by CCl4 intoxication. Meanwhile, undamaged hepatocytes proliferate to replace the dead ones, thereby mechanically compressing the fibrotic network formed by collagen into “wall”-like shapes. Importantly, simulations assuming loss of spatial pattern of CYP2E1 expressing hepatocytes match with experimental data from mice with deleted transcription factor GATA4 in endothelial cells displaying a decreased CYP2E1 expression and disturbed distribution pattern in hepatocytes, thereby validating the DT.
Enhancing the Mechanical Performance of Carbon Fiber Reinforced PEEK Composite Through Double Reinforcement with MWCNTs
Authors: Jaiswal Anand Prakash , Kim Sang One , Jeon Min Hyeok , Thuan Ho Nguyen Tan , Yoon Soon ho , Kim Minkook
Published: August 2024

In this study, a double reinforcement method relied on multiwalled carbon nanotubes (MWCNTs) to significantly enhance the strength and fracture toughness of carbon fiber-reinforced thermoplastics (CFRTPs) was demonstrated. MWCNTs were first grafted onto carbon fiber surfaces via nitric acid treatment and silane coupling. Additional MWCNTs were dispersed into a polyether ether ketone (PEEK) thermoplastic matrix. The synergistic effects of the fiber reinforced and matrix-incorporated MWCNTs improved the interlocking network and nanoscale bridging characteristics. The interlaminar shear strength (ILSS) substantially increased by 63.39% from 60 MPa for the baseline to 98.2 MPa for the optimized double reinforcement configuration. The fracture toughness measured by double cantilever beam tests increased by 61.7% from 746.2 J/m2 to 1206.7 J/m2. Scanning electron microscopy images revealed enhanced energy dissipation mechanisms with nanotube pull-out and crack deflection attributes. The double reinforcement method developed here via the incorporation of MWCNTs into the fiber and matrix phases significantly enhanced the ILSS, fracture toughness, and damage resistance of the CFRTP composites without detrimentally impacting the baseline tensile strength.