bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengembangan kepustakaan islam banjar dan problematikanya di perguruan tinggi islam kalimantan selatan (Studi pada perpustakaan UIN Antasari Banjarmasin, IAI Darussalam Martapura dan STAI Rakha Amuntai)
Authors: Wahdah Siti , Rahmawati Laila 
Published: December 2024

Perpustakaan perguruan tinggi agama Islam sebagai perpustakaan yang berada dibawah naungan perguruan tinggi Islam, yang kegiatan belajar mengajarnya tidak lepas dari nilai-nilai agama Islam. Kepustakaan Islam merupakan informasi yang sifatnya utama (core collection). Penting untuk mengenalkan dan melestarikan kebudayaan lokal melalui perpustakaan dengan menyediakan kepustakaan Islam berkearifan lokal (kepustakaan Islam Banjar). Terlebih pengembangan kepustakaan Islam Banjar pada Perpustakaan UIN Antasari Banjarmasin, IAI Darussalam Martapura, STAI RAKHA Amuntai. Penelitian bersifat deskriptif dengan subjek penelitian kepala perpustakaan dan pustakawan. Pengumpulan data dengan observasi, wawancara dan dokumentasi. Analisis data menggunakan metode dari Miles dan Huberman dan pengujian dengan triangulasi. Koleksi kepustakaan Islam Banjar: Subjek Utama Koleksi yaitu al- qur’an dan tafsir, ilmu hadits,ilmu kalam(Teologi), Fiqh, akhlak dan tasawuf, sosial dan budaya Islam, organisasi keagamaan orang Banjar filsafat dan perkembangannya, Psikologi Islam, aliran dan kepercayaan dalam Islam, sejarah agama Islam dan biografi tokoh dan Ulama Banjar. Pengembangan kepustakaan Islam Banjar pada Perpustakaan Perguruan Tinggi Islam Kalimantan Selatan, memang mempunyai kebijakan masing-masing. Namun, keterbatasan dana dan kurangnya SDM menjadi kendala pengembangan.
STRATEGI PEMASARAN TAMAN MAKAM WISATA LOANG BALOQ DALAM MENINGKATKAN JUMLAH PENGUNJUNG
Authors: Vadiatunnisa Indana 
Published: December 2024

Tingkat kunjungan wisatawan di taman wisata Loang Baloq menurun dalam beberapa tahun terakhir dikarenakan kurangnya strategi pemasaran yang efektif untuk menarik perhatian masyarakat. Hal ini menyebabkan kurangnya pemahaman tentang daya tarik dan potensi yang ditawarkan oleh taman wisata Loang Baloq. Tujuan penelitian ini untuk mengetahui strategi pemasaran wisata dan juga kendala-kendala apa saja yang dihadapi pengelola wisata religi Loang Baloq dalam rangka meningkatkan jumlah kunjungan. Jenis metode penelitian yang digunakan adalah metode penelitian kualitatif . Penelitian kualitatif mencoba menguraikan realita ataupun fenomena yang ada di masyarakat dari sudut pandang informan atau orang yang berpatisipasi dalam penelitian tersebut. Realita atau fenomena tersebut dapat dapat dipahami melalui pengumpulan data yang dilakukan melalui wawancara, observasi, dan analisis dokumen.Hasil dari penelitian ini adalah strategi pemasaran yang dilakukan pengelola taman wisata Loang Baloq yang paling mempengaruhi tingkat kunjungan adalah product sedangkan strategi pemasaran yang belum efektif dalam meningkatkan kunjungan kunjungan adalah promotion.
INVENTARISASI GAS EMISI RUMAH KACA YANG DIHASILKAN PT KALTIM METHANOL INDUSTRI DARI AUXILIARY BOILER DAN STACK REFORMER DENGAN METODE IPCC
Authors: Salsabila Sarah Hasna 
Published: December 2024

PT Kaltim Methanol Industri adalah perusahaan penghasil methanol satu-satunya di Indonesia dalam operasinya dapat menghasilkan emisi gas rumah kaca dari auxiliary boiler dan stack reformer. Penelitian ini bertujuan untuk menghitung dan menganalisis estimasi jumlah emisi gas rumah kaca CO2 serta membandingkan dengan pengukuran alat di PT Kaltim Methanol Industri. Perhitungan emisi gas rumah kaca CO2 dilakukan dengan menggunakan metode perhitungan sesuai pedoman IPCC Guideline 2006. Hasil penelitian menunjukkan bahwa besar emisi gas emisi rumah kaca dengan perhitungan metode IPCC pada tahun 2020 hingga 2022 bertutut-turut untuk tier 1 adalah 314.567,75 ton CO2e, 279.269,49 ton CO2e dan 285.195,41 ton CO2e. Besar nilai tier 2 adalah 317.646,38 ton CO2e, 281.275,62 ton CO2e dan 286.3566,18 ton CO2e. Besar tier 3 adalah 319.283,00 ton CO2e , 283.066,04 ton CO2e dan 288.073,27 ton CO2e. Berdasarkan masing-masing nilai perhitungan yang paling mendekati dengan nilai pengukuran pada tahun 2020-2022 yaitu sama berada pada tier 3. Selisih tier 3 masing-masing tahun rentang 1-2% saja. Berdasarkan penelitian tersebut Gas Rumah Kaca di PT Kaltim Methanol Industri berbanding lurus dengan jumlah produksi methanol.

Kata kunci: Inventarisasi, methanol, emisi gas rumah kaca, IPCC.
Pengaruh Green Packaging Terhadap Green Perceived Value dan Green Perceived Risk Serta Dampaknya Pada Green Purchase Intention
Authors: Muhammad Rizki Fayad  , Hairudinor  
Published: December 2024

Abstract: This research aims to test and determine the influence of green packaging on green perceived value and green perceived risk, as well to test and determine the influence of green perceived value and green perceived risk on green purchase intention. The research location was chosen at Starbucks in Banjarmasin City. A total of 100 respondents were determined and selected using accidental sampling. Questionnaries were used to collect data and PLS-SEM was used to test the hypotheses. The results show that green packaging has a significant positive effect on green perceived value and a significant negative effect on green perceived risk, also the green perceived value has a significant positive effect on green purchase intention, while green perceived risk has a significant negative effect on green purchase intention

Keywords: Green Packaging, Green perceived Value, Green Perceived Risk, Green Purchase Intention
METHOD OF OPERATIONAL CALCULATION OF COORDINATES OF INTERMEDIATE ROUTE POINTS OF FLYING INFORMATION ROBOT
Authors: Lysenko Olexandr , Valuiskyi Stanislav , Yavisya Valerii , Tachinina Olena , Novikov Valery , Sushin Ihor 
Published: December 2024

Background. The article describes an operational calculation method of the intermediate points' coordinates of the flying information robot (FIR) route, which collects information from mobile sensors of a mobile wireless sensor network.
Objective. The purpose of the paper is to develop a method that allows building the movement trajectory of the LIR, minimizing the time for collecting information from mobile sensors.
Methods. The quickly calculating method of the route' coordinates of intermediate points involves setting a quasi-mobile mode of sensors movement and the consistent use of algorithms for solving the navigation problem, the clustering problem, and the problem of finding the flying trajectory around information collection points from mobile sensors clusters that formed at the time of the start of collecting information.
Results. A method has been developed that uses the procedures of quantitative calculation of the indicators of the structural-information connectivity of wireless sensor networks with mobile sensors. These indicators take into account the presence of not only a structural connection, but also a guaranteed information exchange between a given sender-destination pair.
Conclusions. The developed method makes it possible to improve the indicators of the structural-information connectivity of wireless sensor networks with mobile sensors: k-connectivity and network bandwidth.
3D CoAt U SegNet-Enhanced Deep Learning Framework for Accurate Segmentation of Acute Ischemic Stroke Lesions from Non-Contrast CT Scans
Authors: Nag Manas Kumar , Sadhu Anup Kumar , Das Samiran , Kumar* Chandan , Choudhary* Sandeep 
Published: December 2024

Abstract

Segmentation of ischemic stroke lesions from Non-Contrast CT scans is a challenging task as ischemic stroke lesions are hypo-intense in respect to surrounding healthy brain tissue and iso-intense with lateral ventricles in many cases. Computer-assisted detection and segmentation can act as an aiding tool for clinicians. This paper proposes novel deep learning model CoAt U Segnet to detect and segment acute brain ischemic lesions from Non-Contrast CT scans (NCCT). Detection of early acute ischemic stroke lesion is challenging in NCCT scans. This treatise introduced a novel deep learning 3D model instead of common 3D segmentation models. However, most prevalent machine learning models could not obtain satisfactory detection or segmentation accuracy. 50 NCCT scans were used for training, 10 scans were used for validation, and 500 scans were used for testing the trained model. We considered dilation rates of 1, 3, and 5 in each encoder convolution block. We obtained the dice similarity score by testing on 500 unknown NCCT scans, which is calculated as 75 %, and the Jaccard index was 70%. An improved similarity index was used to segment the acute ischemic stroke lesion. The segmented lesion can be used to detect penumbra from the core area.

*Chandan Kumar and Sandeep Choudhary contributed equally.
Study protocol testing feasibility of the Comfort Measures Only Time out (CMOT) to reduce distress during palliative withdrawal of mechanical ventilation
Authors: Fischer Abigail G , Campbell Margaret L , Hayes Margaret M , Schwartzstein Richard M , White Douglas B , Mitchell Susan L , Fehnel Corey R 
Published: December 2024

Abstract

Distress is experienced by more than 30% of patients during palliative withdrawal of mechanical ventilation at the end of life in the intensive care unit. There is a lack of high-quality evidence for specific approaches to risk factor identification and management of distress during this process. Structured “time-outs” and checklist interventions improve surgical outcomes and have been widely adopted in procedural care, but they have not been tested for palliative use in intensive care unit settings. We describe the development and planned testing of a novel time-out checklist intervention, the Comfort Measures Only Time Out in a non-randomized single arm pilot study. Intervention development was guided by published literature and a structured inter-professional advisory panel. The intervention will be tested by clinical teams caring for 46 patients undergoing palliative withdrawal of mechanical ventilation. Nurses, physicians, advanced practice providers, and respiratory therapists will convene within an hour before withdrawal of mechanical ventilation to complete the checklist. Implementation outcomes, including feasibility, will be measured by a 12-question survey and by clinician protocol adherence. Analyses will include effect size calculation for future randomized controlled trials to test efficacy in reducing patient distress.
Trial Registration: Clinical trials.gov (NCT05861323); 16 May 2023, https://clinicaltrials.gov/study/NCT05861323?cond=NCT05861323&rank=1&tab=history&a=1#version-content-panel
Proactive clinical Review of patients taking Opioid Medicines long-term for persistent Pain led by clinical Pharmacists in primary care Teams (PROMPPT). A non-randomised Mixed Methods Feasibility Study.
Authors: Ashworth Julie , Cornwall Nicola , Harrisson Sarah A , Woodcock Charlotte , Nicholls Elaine , Lancaster Gillian , Wathall Simon , Laing Libby , Helliwell Toby , Jowett Sue , Kigozi Jesse , Mallen Christian D , Avery Anthony , Knaggs Roger , Pincus Tamar , White Simon , Jinks Clare 
Published: December 2024

Abstract

Background:
Given the poor long-term effectiveness of opioids for persistent non-cancer pain, and their potential for harm, evidence–based interventions to address opioid overprescribing for persistent pain are needed. This study aimed to explore the acceptability and feasibility of a primary care practice pharmacist-led intervention (PROMPPT review) for patients prescribed opioids for persistent pain, and the feasibility of evaluating PROMPPT in a definitive trial.
Methods:
A single arm study, with mixed methods process evaluation, was conducted in four English primary care practices. Adults prescribed opioids for ≥6months were invited to participate in the Management of Opioids and Persistent Pain (MOPP) study by completing baseline and 3-month follow-up questionnaires. Practices invited a representative sample of MOPP participants to schedule a PROMPPT review, eight of which were audio-recorded. Following the review, pharmacists completed intervention delivery templates and participants were sent an Acceptability Questionnaire and invited to consent to an interview.
Results:
Between November 2020 and May 2021, 148 participants were recruited to the MOPP study. Of these, 123 (83%) completed 3-month follow-up. Of 88 MOPP participants invited for a PROMPPT review, 80 (91%) attended. The review was rated completely acceptable or acceptable in 90% (45/50) of acceptability questionnaires returned.
Overall, participants interviewed (n=15) perceived the review as a good idea and recommended it to others; they preferred face-to-face consultations. Prior to the review, they reported mixed feelings, including feeling ‘pleased’ to be invited and ‘grateful’ someone was taking an interest, alongside concerns about what would happen during the review, including opioids being stopped and changes being detrimental. Following the review, those with a clear plan for follow-up/access to the pharmacist felt reassured about making changes to their pain medicines, whilst those advised to arrange follow-up as needed were less satisfied and more likely to report confusion about the plan.
Conclusions:
PROMPPT reviews appeared acceptable to patients, review uptake was high, and the study demonstrated the feasibility of a large definitive trial to evaluate PROMPPT. The review invitation, patient information and pharmacist training were refined based on the findings ahead of a large cluster randomised controlled trial.
Trial Registration: ISRCTN, ISRCTN87628403 Registered: 31 July 2020, https://www.isrctn.com/ISRCTN87628403
Examination of the long-term efficacy and safety of switching from entecavir to tenofovir alafenamide, including the anti-carcinogenic effect
Authors: Matsubara Takuya , Hagiwara Satoru , Nishida Naoshi , Omaru Naoya , Yoshida Akihiro , Yamamoto Tomoki , Komeda Yoriaki , Takenaka Mamoru , Kudo Masatoshi 
Published: December 2024

Abstract

This study evaluated the long-term efficacy and safety, as well as the anti-carcinogenic effects, of entecavir (ETV) and tenofovir alafenamide (TAF), which are widely used in Japan. The prospective observational analysis included 77 patients with chronic hepatitis B assigned to the ETV continuation and TAF change groups. After 240 weeks, the mean change in serum hepatitis B surface antigen (-0.365±0.069 log IU/mL vs. 0.301±0.039 log IU/mL, p=0.39) and estimated glomerular filtration rate (-5.407±1.660 vs. -2.666±1.52, p=0.240) did not differ significantly between the ETV and the TAF groups. Additionally, the levels of urinary β2-microglobulinβ/creatinine (2.330±0.374 at baseline vs. 2.335±0.257 at 240 weeks for ETV and 2.720±0.073 vs. 2.123±0.310 for TAF, p=0.996 and 0.455, respectively) or urinary N-acetyl-beta-D-glucosaminidase/creatinine (0.040±0.005 at baseline vs. 0.044±0.004 at 240 weeks for ETV and 0.049±0.005 vs. 0.053±0.005 for TAF, p=0.642 and 0.684, respectively) did not differ between the two groups. Finally, no significant difference was observed in the carcinogenesis inhibitory effect between the ETV and TAF groups (log-rank test, p=0.08). In conclusion, the long-term observation in the present study demonstrated the comparable efficacy and safety between ETV and TAF.
Critical aspects of droplet digital reverse transcription loop-mediated isothermal amplification (ddRT-LAMP) for viral pathogens detection
Authors: Oropeza-Ramos Laura , Pilloni Oscar , Olguin Luis , Chávez-Ramos Kenia , Trejo Frida , Salas-Navarrete Prisciluis , Ramón-Gallegos Eva , Muñoz-Medina José , Álvarez-Icaza Luis 
Published: December 2024

Abstract

The COVID-19 pandemic evidenced the urgent need for rapid, accurate, and scalable diagnostic methods for emerging infectious diseases. Droplet digital reverse transcription loop-mediated isothermal amplification (ddRT-LAMP) is a promising technique for pathogen detection and DNA or RNA quantification. Compared to ddPCR, it simplifies device design, reduces power consumption and analysis time, and enhances compatibility with miniaturization, making it ideal for portable, high-throughput nucleic acid detection applications. However, many parameters must be adjusted according to the application to avoid spurious results. This study critically examines key conditions for an effective ddRT-LAMP assay to quantify copies of SARS-CoV-2 N gene coded in plasmid DNA, synthetic viral RNA, or patients’ nasopharyngeal swab samples. Using a polydimethylsiloxane (PDMS) microfluidic device, the RT-LAMP reaction mixture with a fluorescent dye was divided into thousands of droplets stabilized by a surfactant in fluorinated oil. After incubation, the droplets were injected into a PDMS chamber for fluorescent imaging to determine the proportion of positive droplets and quantify the samples based on Poisson distribution. Samples with viral loads up to 102 copies/µL were quantified with high precision. Results showed that primer design and master mix composition significantly impacted the amplification. Selection of GelGreen® as the fluorescent dye was crucial, as other dyes tested diffused into the oil phase. Droplets with a diameter of around 105 µm and an incubation time of 30 min were required to achieve maximum amplification. By addressing these operational challenges, ddRT-LAMP can become a more effective tool for viral detection and quantification in clinical diagnostics.
Comparison of the correlation between cerebral [18F]FDG metabolism as assessed by two asymmetry indices and clinical neurological score in patients with ischemic cerebrovascular disease
Authors: Liang Yuxin , Cui Bixiao , Ye Linlin , Yang Bin , Shan Yi , Yang Hongwei , Ma Lei , Zhang Miao , Lu Jie 
Published: December 2024

Abstract

Purpose
To identify a method of assessing cerebral 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) metabolism with an asymmetry index (AI) that reflects clinical neurological function in patients with ischemic cerebrovascular disease (ICVD), and to explore its applications and potential value to the ICVD in clinical settings.
Procedures:
Seventy patients diagnosed with subacute and chronic ischemic stroke were retrospectively analyzed. All patients underwent [18F]FDG PET/MR scans and were assessed using the National Institutes of Health Stroke Scale (NIHSS) and the Modified Rankin Scale (mRS). Following a year of rehabilitation training, nineteen patients underwent a repeat [18F]FDG PET/MR scan. The decreased cerebral [18F]FDG metabolism region was defined as the AI value greater than 10%. Two voxel-wise AIs, designated as AI1 and AI2, were calculated based on the standardized uptake value ratio (SUVR). The decreased metabolism on affected side accessed by different AI calculation methods were compared. The correlations between the decreased metabolism and the clinical scores were analyzed.
Results
The volume and percentage of decreased [18F]FDG metabolism assessed by AI2 was larger than that obtained from AI1 (all p < 0.0001). The correlation coefficients between the clinical scores and the decreased metabolism in temporal and parietal lobes assessed by AI1 method were all higher than those from AI2. In addition, the improved follow-up patients showed more pronounced metabolic improvement as assessed by AI1.
Conclusions
The assessment of cerebral [18F]FDG metabolism in patients with unilateral internal carotid/middle cerebral artery steno-occlusion to reflect clinical neurological function using the AI1 method demonstrated superior performance in comparison to the AI2 method.
User Profiles and Perceptions for Predicting Acceptance with Fairness Assessment in Border Control Technologies
Authors: Shaikh Sarang , Yayilgan Sule Yildirim , Zoto Erjon , Abomhara Mohamed 
Published: December 2024

Abstract

In 2013, European border crossing points (BCPs) introduced border control technologies (BCTs) aimed at improving efficiency and security. However, these technologies face challenges in user adoption and acceptance, often due to limited traveler awareness and support at BCPs. Traditional models like the technology acceptance model (TAM) rely on structured data and struggle with complex, non-linear relationships, limiting their effectiveness in predicting technology acceptance. Recent advancements in machine learning offer enhanced accuracy for predicting technology acceptance by leveraging unstructured, large-scale data from sources like online social networks (OSNs) or questionnaires. Existing studies have focused primarily on individual attributes like age and gender, with limited attention to how these attributes interact with user perceptions. Despite these advancements, research on technology acceptance prediction for BCTs remains limited, particularly in integrating user profile attributes and perceptions and also no comprehensive relevant dataset exists for this purpose. This study addresses this gap by using an automated approach for developing technology acceptance score dataset that combines user profiles and perception attributes along with investigating how the integration of these attributes impact prediction accuracy and assess its fairness by considering bias and explainable AI (XAI) in the developed models. Our results indicate that this integrated approach significantly enhances the prediction of technology acceptance, with TabTransformer model achieving the highest accuracy of 76%. This study not only contributes to the existing research domain of technology acceptance prediction but also opens new directions for future research into technology acceptance for BCTs as well as for other types of technologies.
A randomized controlled trial of the Transdiagnostic Intervention for Sleep and Circadian dysfunction implemented via facilitation and delivered by community mental health providers: Improving the “fit” of psychological treatments by adapting to context
Authors: Harvey Allison G. , Agnew Emma R. , Hache Rafael Esteva , Spencer Julia M. , Diaz Marlen , Patino Estephania Ovalle , Milner Anne , Dong Lu , Kilbourne Amy M , Buysse Daniel J. , Callaway Catherine A. , Sarfan Laurel D. 
Published: December 2024

Abstract

Background. To determine if the use of theory, data and end-user perspectives to guide an adaptation of the Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C) yields better outcomes and improves the “fit” of TranS-C to community mental health centers (CMHCs), relative to the standard version.
Methods. Ten counties in California were cluster-randomized by county to Adapted or Standard TranS-C. Within each county, adults who exhibited sleep and circadian dysfunction and serious mental illness (SMI) were randomized to immediate TranS-C or Usual Care followed by Delayed Treatment with TranS-C (UC-DT). Facilitation was the implementation strategy. The participants were 93 CMHC providers who delivered TranS-C (Standard = 30; Adapted = 63) and 396 CMHC patients (Standard = 74; Adapted = 124; UC-DT = 198). Patient assessments were completed at pre-treatment, post-treatment, and six months after treatment (6FU). Provider assessments were completed at post-training, mid-treatment, and post-treatment.
Results. TranS-C (combining Adapted and Standard), relative to UC-DT before delayed treatment with TranS-C, was associated with improvement from pre- to post-treatment in sleep disturbance (b = -10.91, p < 0.001, d = -1.52), sleep-related impairment (b = -9.52, p < 0.001, d = -1.06), sleep health composite (b = 1.63, p < 0.001, d = 0.95), psychiatric symptoms (b = -6.72, p < 0.001, d = -0.52), and overall functional impairment (b = -5.12, p < 0.001, d = -0.71). TranS-C’s benefits for functional impairment and psychiatric symptoms were mediated by improvements in sleep and circadian problems. Adapted versus Standard TranS-C did not differ on provider ratings of fit and better fit did not mediate the relation between TranS-C condition and patient outcome.
Conclusions. TranS-C can be delivered by CMHC providers. Although Adapted and Standard TranS-C both fit the CMHC context, several advantages emerged for the adapted version.
Trial registration: Clinicaltrials.gov identifier: NCT04154631. Registered on November 6, 2019. https://clinicaltrials.gov/ct2/show/NCT04154631