bluuebunny/crossref_metadata_2025 huggingface dataset:
MOSQUE FINANCIAL MANAGEMENT AND HALAL ECONOMY ECOSYSTEM: AN ANALYSIS OF MUHAMMADIYAH MOSQUES IN SOUTH SULAWESI, INDONESIA
Authors: Agusdiwana Suarni  , Siti Nurbaya
Published: November 2024

This research aims to analyze the financial management of Masjid Muhammadiyah in South Sulawesi Province, with a focus on the effective and efficient utilization of financial resources for Halal economic ecosystem development. The mosque plays a crucial role in the Muslim community, and sound financial management is essential for maintaining its operational sustainability and facilitating various beneficial programs and activities for the faithful. Qualitative research methodology with a case study approach was employed. Data were collected through in-depth interviews with 80 mosques Muhammadiyah in South Sulawesi and FGD with mosque administrators, financial managers, and congregants involved in the financial management of the mosque. Additionally, relevant documents such as financial reports, budgets, and financial policies were analyzed. The findings reveal that Muhammadiyah mosques in South Sulawesi province possess several strengths in their financial management. These include a commitment from mosque administrators to financial transparency and accountability, as well as the implementation of a robust accounting system. However, several challenges were identified, such as a lack of trained personnel in financial management and the need for income diversification. To address these challenges, strategic steps are recommended. First, enhancing the understanding and capacity of mosque administrators in financial management through training and education programs is crucial. Second, diversifying income sources through the development of creative and sustainable fundraising initiatives is essential. Third, leveraging information technology in financial management to achieve better efficiency and effectiveness is recommended.
HOW CAN STUDENTS BE ENCOURAGED TO USE ISLAMIC BANKS? ANALYSIS BASED ON EXPERIMENTAL SURVEYS
Authors: Rachman Rayhan Ali , Arundina Tika , Azizon A. Azizon
Published: November 2024

Despite being developed for more than 30 years, the market share of Islamic banks in Indonesia is still very low compared to conventional banks. Therefore, an increase in the number of customers is needed by attracting new customers, one of which is through marketing. Although there have been many studies on factors that influence the use of Islamic banks, there have been few studies that discuss the role of message strategy in marketing. This study aims to test the effectiveness of message strategy in marketing to attract new customers by focusing on the message conveyed to potential customers. This study is a quantitative study, where data is collected by experimental survey methods and analysed using Z proportion test and logistic regression. An online experimental survey was conducted on 905 students as potential customers, with one control group and four treatment groups receiving information about Islamic banks with additional information related to religion, social impact, influencers, and service excellence. The results of the analysis show that the influencer treatment significantly and positively increases the likelihood of students opening an account in an Islamic bank. On the other hand, students who have high parental influence, are Muslims, and study at Islamic universities have a greater chance of opening an account in an Islamic bank. From these findings, Islamic banks are recommended to use influencers to attract the interest of students, especially those who are Muslim and study at Islamic universities, as potential customers. The results of the study are also expected to enrich academic literature related to message strategy in marketing Islamic banks.
ANALYSIS OF SYARIAH BANKS' FINANCIAL PERFORMANCE BEFORE, DURING AND AFTER THE COVID-19 PANDEMIC IN SOUTHEAST ASIA: THE CAMEL APPROACH
Authors: Nur Retno Hidha , Wardana Guntur Kusuma
Published: November 2024

The outbreak of Covid-19 has had an impact on several sectors, including the economy in Southeast Asia, which has an important role in the global supply chain. Covid-19 has an impact on the decline in Real GDP which causes a decline in economic growth which is followed by a recession which causes weak financial performance of Sharia Banking. This research is a type of quantitative research with a comparative approach. This research aims to find out whether there are differences in the financial performance of Islamic banks in Southeast Asia before, during and after the Covid-19 pandemic. The variables used to measure banking performance are CAR, NPF, ROA, BOPO and FDR. The data used is secondary data in the form of documentation of banking financial reports obtained from the financial reports of each Islamic bank. The population of this research is all sharia banking which is included in "The Largest Islamic Bank 2020-2023" according to The Asian Banker, sample selection was carried out using purposive sampling technique, the number of samples for this research was 26 sharia banks. The data analysis method used is the difference test with the Wilcoxon sign test. The results of this study show that before and after there are significant differences as measured by CAR and ROA. Meanwhile, the NPF, BOPO and FDR ratios show that there are no significant differences. Conditions during and after Covid-19 as measured by the BOPO ratio have significant differences. Meanwhile, the CAR, NPF, ROA, FDR ratios show that there are no significant differences.
Odontogenic Keratocyst Management Using Carnoy’s Solution: Our Experience
Authors:   Associate professor, Department Of ENT, U Sathe Nilam , Bhange Prasad ,   Associate Professor, Department of Dentistry, Kelka Sheetal ,   Department of Dentistry, Rathod Indutai , Gupta Davish ,   Department of ENT Senior Resident
Published: November 2024

Background
Odontogenic keratocyst (OKC) is a benign intraosseous lesion relatively frequent in the oral cavity. It has a locally
aggressive behaviour and exhibits a high propensity to recur after treatment.
Aim
The present study aimed to study the demographic profile of the OKC and to investigate the clinicoradiographic
presentations and outcomes of surgical treatment of OKC. Materials and methods: It is the descriptive Prospective Study
done during the time period of January 2020 to December 2023, 18 cases of odontogenic keratocyst were admitted and
treated under the care of Department of Otorhinolaryngology, Seth GSMC and KEM Hospital Mumbai. Patients came
to the ENT OPD with history of swelling in the cheek region, nasal obstruction, numbness in the upper alveolar region.
Enucleation with bone grafting & application of Carnoy’s solution (CS) was the most common surgical modality that was
used in all patients.
Result
Mean age of presentation was 34.39 years. Female predilection was more 61% compare to male 39%. most common
presentation of the cases was third molar problem followed by pain. Mandibular odontogenic cyst is more common
13 cases (72%) than maxillary odontogenic cyst 5 cases (28%). No recurrence seen in this study. Conclusion-OKC is
aggressive tumour for this timely intervention, complete enucleation and proper follow up require. Carnoys solution is
the key for reducing recurrence of OKC.
Conclusion
Odontogenic keratocyst is locally aggressive tumour. sometimes it occurs as incidental findings. Odontogenic keratocyst
also associated with syndrome. For this timely intervention of swelling complete enucleation with proper follow up is
required. Carnoy’s solution is the key for resolution of OKC & to prevent recurrence.
Gangrena de Fournier. Etiología, diagnóstico y tratamiento
Authors: Zambrano Sánchez Jorge Luis , Ramos Tuarez Andrea Stefany , Durán Castro Virginia , Avellan Zambrano Richard Franklin , Quiroga Sabando Andrea Isabel , Moreira M. Melissa
Published: November 2024

Introducción: la Gangrena de Fournier (GF) es una infección necrotizante grave de los tejidos blandos que afecta principalmente el perineo, los genitales y el abdomen inferior. A pesar de su rareza, la alta mortalidad y la rápida progresión de esta enfermedad exigen un manejo eficiente y bien fundamentado. Objeto: el objetivo de esta revisión es evaluar los aspectos clínicos, diagnósticos y terapéuticos de la GF, proporcionando una visión actualizada sobre su manejo y los resultados obtenidos. Metodología: se realizó una revisión exhaustiva de la literatura médica, seleccionando estudios recientes y relevantes relacionados con la GF. Se evaluaron artículos que describen el manejo clínico, el diagnóstico, las intervenciones terapéuticas y las comorbilidades asociadas. Resultados: los estudios revisados indican que la GF suele estar asociada a comorbilidades como la diabetes mellitus y las enfermedades urológicas. La detección temprana y la intervención quirúrgica rápida son fundamentales para mejorar el pronóstico. El tratamiento estándar incluye desbridamiento quirúrgico agresivo, terapia antibiótica de amplio espectro y el manejo de las condiciones subyacentes. A pesar de la mejora en las estrategias de tratamiento, la tasa de mortalidad sigue siendo elevada. Conclusión: la GF es una emergencia médica que requiere una intervención rápida y un enfoque multidisciplinario. La combinación de desbridamiento quirúrgico temprano, tratamiento antibiótico adecuado y manejo de comorbilidades es clave para mejorar los resultados y reducir la mortalidad. Se requiere investigación continua para optimizar las estrategias de tratamiento y mejorar la calidad de vida de los pacientes afectados. Área de estudio general: medicina. Área de estudio específica: cirugía general y coloproctología. Tipo de estudio: revisión narrativa.
Penerapan problem based learning dalam meningkatkan kemandirian belajar peserta didik kelas X
Authors: Hastuti Fafria Fari , Waluyo Mohamad , Sumadi Sumadi
Published: November 2024

Penelitian ini didorong oleh adanya kesulitan belajar yang masih dihadapi oleh peserta didik, terutama kurangnya kemandirian belajar selama proses pembelajaran matematika di kelas. Tujuan penelitian yang ingin dilakukan oleh penulis adalah untuk menerapkan model PBL dalam pembelajaran matematika guna meningkatkan kemandirian belajar peserta didik. Penelitian ini dilakukan di SMA Negeri 1 Sukoharjo, khususnya kelas X-3 dengan 36 peserta didik. Penelitian Tindakan Kelas (PTK) ini menggunakan model Kemmis dan McTaggart untuk desain penelitian. Metode pengumpulan data yang digunakan meliputi observasi, angket, dan wawancara, dengan sumber data utama berupa angket. Data kuesioner dianalisis menggunakan skala Likert, sementara data dari observasi dan wawancara dianalisis secara kualitatif. Hasil penelitian ditunjukkan dengan rataan pencapaian skor aspek kemandirian belajar di setiap siklus dari kegiatan yang berlangsung. Pencapaian rata-rata capaian skor aspek kemandirian belajar peserta didik menunjukkan bahwa pada awalnya berada dalam kategori cukup baik, dengan rata-rata skor sebesar 66,37% pada tahap prasiklus. Setelah diterapkan model PBL, kemandirian belajar meningkat menjadi 72,09% pada siklus I dan mencapai 80,70% pada siklus II. Secara keseluruhan, ≥75% peserta didik mencapai kategori baik dalam kemandirian belajar, dan ≥75% peserta didik juga mencapai kategori baik untuk setiap indikator kemandirian belajar. Dengan demikian, penelitian menyimpulkan bahwa model PBL efektif meningkatkan kemandirian belajar peserta didik.
KAJIAN ATMOSPHERE PASAR TRADISIONAL: PERSPEKTIF ARSITEKTUR
Authors: Wongso Jonny , Tela I Nengah , Hadi Zuriyon , Yeza Riska Nofri , Anief Bahrul , Ilona Desi , Zaitul Zaitul
Published: November 2024

Market atmosphere is an important aspect that must be considered by architects, market managers, and traders so that buyers feel comfortable and safe in the market. The market atmosphere will have an impact on the interests and behaviour of buyers. Previous research on market atmosphere failed to pay attention to traditional markets. The traditional market is still an important medium interaction for social and cultural gatherings and meeting demand and supply. This study aims to describe the atmosphere component of a traditional shop/market in Painan, Pesisir Selatan Regency. Using six components identified through a comprehensive literature review: Market cleanliness, Market scent, Air conditioning, Lighting, Colouring, and the appearance and layout of the building. Buyers in the market are used as respondents. Research data is primary data obtained through surveys. The analysis method uses descriptive and comparative analysis methods. A total of 71 buyers participated in this study. The results showed that the atmosphere of traditional shops/markets was inadequate both from the components of cleanliness, smell, air conditions, lighting, colouring, and the appearance and layout of the building. After testing the difference between sex and education level, only one component significantly differed between men and women (lighting) and education level (colouring). The research suggests that the government should revitalize the Painan traditional market into a highly attractive market to remain competitive in the era of the industry revolution 4.0.
RANCANGAN PEMASANGAN POMPA AIR YANG MENGGUNAKAN TENAGA LISTRIK MATAHARI DI LAHAN PERTANIAN DESA HUTARIMBARU PANYABUNGAN TIMUR
Authors: Hasibuan Fardin , Rahman Hakim Arif , Sena Boni , Akramunnas Bastul Wajhi , Widagdo Trijaya
Published: November 2024

Padi merupakan kebutuhan pangan dasar di Indonesia. Desa Hutarimbaru yang berada di Kecamatan Panyabungan Timur Kabupaten Mandailing Natal Provinsi Sumatera Utara, merupakan daerah yang dimana sebagian besar masyarakatnya adalah petani padi. Keberhasilan penanaman padi sangat bergantung dengan suplai air pada areal persawahan tersebut, kontur daerah yang berbukit menjadi kendala dalam suplai air untuk persawahan tersbut. Jaringan listrik yang belum tersedia pada areal persawahan tersebut, mengakibatkan irigasi artificial sulit dilakukan, untuk itu diperlukan pembangkit listrik khusus pada areal persawahan tersebut, pembangkit listrik yang digunakan adalah Pembangkit Listrik Tenaga Surya (PLTS), dengan adanya PLTS ini maka pompa dapat dipasang untuk memompakan air dari sungai ke irigasi pada areal persawahan tersebut, dengan jarak sekitar 300 meter dan ketinggian areal persawahan 3 meter dari bibir air sungai normal. Head loss dengan diameter pipa 4 inchi sebesar 4.8 m. Luas cakupan daerah persawahan yang akan dialiri air seluas 3 ha dengan debit pompa 600 liter/detik, head 9 meter, power 3000 watt, AC satu phase. PLTS tersebut terpasang atas 16 modul solar cell dan biaya investasi yang dibutuhkan sebesar Rp 131.996.483,00.
PERANCANGAN SISTEM INFORMASI PEMINJAMAN DAN PENGEMBALIAN TOOLS DI SMK NEGERI 3 BATAM MENGGUNAKAN METODE WATERFALL
Authors: Yasra Refdilzon , Yunesman Yunesman , Tri Widodo Trenggono , August Saputra Rezhy
Published: November 2024

Abstract

SMK Negeri 3 Batam majoring Teknik Bisnis dan Sepeda Motor presently transaction for loan and returning tools from student practice in the workshop and Controlling the data of tool and inventory of tools done in manual or hardcopy used. This is will impact to the processing time for student preparing the tool for practicing in the laboratories due to loams and returns of tools time consuming. Interview with the students for improving the accuracy of data, conclude the need of Information system using the program application for loans and return tools to be more accurate and traceability of the tools. The stage to provide the system information for student loans and returns tool using the waterfall method. The designing the Application suing the dataflow diagram (DFD) and Entity Relationship Diagram (ERD). Design and implementation of the application using the Kodula apps, where not required the programming skills. Application established and generate with simple database. In the implementation got the feedback from student. They are more effective and less time consuming for loan and returns the tools. Traceability of the Tools equipment loans easy to verify by student that increasing the accountability of student to return the Tools. We are expected the Apps implemented at other schools and improve the speed and database capacity more better apps.
MESIN PENGERING IKAN ASIN DAN KERUPUK IKAN MENGGUNAKAN SOLAR CELL DAN ARDUINO SEBAGAI PENGONTROL
Authors: Napitupulu Michel Frans Sisco , Yosep Kunia Novavictorianto , Suherman Adelia , Hidayat Borrong Raya , Arifin Zaenal
Published: November 2024

ABSTRAK

Penelitian ini bertujuan untuk merancang dan mengembangkan mesin pengering ikan asin dan kerupuk ikan yang efisien dan ramah lingkungan menggunakan teknologi solar cell dan Arduino sebagai pengontrol. Proses pengeringan ikan asin dan kerupuk ikan tradisional seringkali bergantung pada cuaca dan membutuhkan waktu yang lama, sehingga diperlukan solusi alternatif yang lebih konsisten dan efektif.

Hasil pengujian menunjukkan bahwa mesin pengering ini mampu mengurangi waktu pengeringan ikan asin dan kerupuk ikan hingga 50% dibandingkan dengan metode penjemuran tradisional, sambil mempertahankan kualitas produk. Penggunaan solar cell sebagai sumber energi menghasilkan penghematan biaya operasional yang signifikan dan mengurangi jejak karbon. Sistem kontrol Arduino memungkinkan pemantauan dan pengaturan proses pengeringan yang lebih presisi, menghasilkan produk dengan kualitas yang konsisten.
Penelitian ini mendemonstrasikan potensi integrasi teknologi terbarukan dan sistem kontrol cerdas dalam meningkatkan efisiensi dan keberlanjutan industri pengolahan ikan skala kecil dan menengah.
ABSTRACT

This research aims to design and develop an efficient and environmentally friendly drying machine for salted fish and fish crackers using solar cell technology and Arduino as a controller. The drying process for salted fish and traditional fish crackers often depends on the weather and takes a long time, so an alternative solution that is more consistent and effective is needed.
Test results show that this drying machine is able to reduce the drying time for salted fish and fish crackers by up to 50% compared to traditional drying methods, while maintaining product quality. Using solar cells as an energy source results in significant operational cost savings and reduces the carbon footprint. The Arduino control system allows more precise monitoring and regulation of the drying process, producing products with consistent quality.
This research demonstrates the potential of integrating renewable technology and intelligent control systems in improving the efficiency and sustainability of small and medium scale fish processing industries.
IMPLEMENTASI ARDUINO SEBAGAI SISTEM PENGENDALI OTOMATIS PADA MESIN PENGERING IKAN UNTUK MENINGKATKAN EFISIENSI DAN KUALITAS PRODUK
Authors: Suharman Adelia , Arifin Zaenal
Published: November 2024

Solar power or solar cell is one of the alternative energy sources that can be developed in Indonesia. Solar cell light detector is a new innovation designed specifically to automate the operation of the solar panels and to optimize the generation of electrical energy. The use of solar cell is expected to be more efficient and effective in the use of electrical energy in order to promote environmentally green technology. Hardware design consists of solar cell as a means of energy conversion of light energy into electricity were, the voltage level sensor, processor of data in the form of Arduino Uno, LCD monitor, servo motor, LDR sensors, batteries, and relay drivers. Based on the test results and the performance of the device, the system works as expected. when the battery voltage reaches the minimum voltage level sensor will detected presence of light, then the servo motor will moved the surface of solar panel towards the highest light intensity and battery charging process starts until it reaches the maximum limit that next recharging will stop filling and detect light.
PENGGUNAAN LIMBAH BATU BARA (COAL BOTTOM ASH) PADA CAMPURAN BETON DAN EFEK JANGKA PANJANG PADA LINGKUNGAN
Authors: Fauzan Fauzan , Suciati Herlina , Yuristiary Yelna , Oktavianto Muhammad Ridwan , Pratama Nur Rizki
Published: November 2024

Batu bara merupakan limbah yang banyak diproduksi oleh perusahaan listrik berbahan batu bara. Salah satu limbah batu bara yaitu Coal Bottom Ash (CBA). Jumlah limbah ini yang terus meningkat mengakibatkan gangguan pada lingkungan sekitarnya. Pengguanaan limbah CBA pada campuran beton dapat menekan jumlah limbah yang ada. Penelitian ini akan menggunakan CBA sebagai bahan subtitusi pada material pasir dalam campuran beton. Adapun jumlah campuran CBA yang digunakan dengan proporsi penggantian pasir dengan CBA sebesar 30% dan 60%. Penggunaan CBA dalam campuran beton menunjukkan setelah perendaman 56 hari beton yang mengandung CBA 60% memiliki kekuatan tekan lebih tinggi dibandingkan beton tanpa CBA, yaitu sebesar 3,7%. Untuk menganalisa pengaruh CBA pada campuran beton terhadap lingkungan digunakan metode SPLP (Synthetic Precipitation Leaching Procedure). Metode ini akan menganalisa kandungan logam berat pada beton yang mengandung CBA dan beton normal. Dengan menambah persentasi CBA pada beton menunjukkan dapat mengurangi kandungan Cr (Chromium) dan Zn (Zinc) sedangkan sebaliknya pada kandungan logam berat As (Arsenic), Pb (Lead) dan Cd (Cadmium) terjadi peningkatan seiring dengan penambahan kadar CBA pada beton.

Kata kunci : Beton, Kuat Tekan, Lingkungan.
ANALISIS KINERJA SIMPANG TIDAK BERSINYAL BERDASARKAN MKJI 1997 (Studi Kasus Ruas Jalan Tengku Sulung dan Jalan Raja M. Saleh)
Authors: Bangun Meva , Agustina Dian Hastari , Kusmawan Edi
Published: November 2024

Kota Batam adalah kota industri di Provinsi Kepulauan Riau yang memiliki luas wilayah daratan seluas 715 km² dengan jumlah penduduk pada tahun 2021 mencapai 1.230.097 jiwa. Seiring bertambahnya jumlah penduduk maka bertambah pula mobilisasi masyarakat dalam berkendara sehingga sering terjadi kemacetan di simpang tidak bersinyal jalan Tengku sulung dan jalan Raja M. Saleh yang disebabkan jumlah kendaraan yang meningkat pada saat jam puncak, berkurangnya lebar efektif dari ruas jalan, serta beberapa permasalahan yang terjadi di persimpangan. Dalam mencari solusi terkait permasalahan tersebut perlu dilakukan analisis kinerja simpang tidak bersinyal berdasarkan MKJI 1997 pada ruas jalan tersebut. Dimana perlu menghitung jumlah volume lalu lintas selama tujuh hari, untuk mengetahui derajat kejenuhannya. Hasil penelitian menunjukkan jam puncak terjadi pada hari sabtu pada pukul 16.00 s.d 18.00 WIB dengan volume kendaraan 3008,1 smp/jam dengan nilai derajat kejenuhan 1,294. Berdasarkan nilai derajat kejenuhan tersebut tingkat pelayanan simpang tersebut masuk ke dalam katagori F dengan kondisi arus lalu lintas terhambat, kecepatan rendah, volume diatas kapasitas, sering terjadi kemacetan pada waktu yang cukup lama sehingga perlu dilakukan pelebaran jalan dan pengalihan arus lalu lintas.
THE ANALIZE OF WASTE ELIMINATION ON SA CONTACT BLOCK TO INCREASED THE OUTPUT BY LEAN MANUFACTURING METHOD (STUDI CASE: PT SCHNEIDER ELECTRIC)
Authors: Merjani Abdullah , Afriantika Nadila
Published: November 2024

PT. Schneider Electric Manufacturing is a global company leading digital transformation in the fields of energy management and automation. PT. Schneider its prioritizes continuous improvement to control the production process.
These include modular and Monoblock sub-assemblies. In controlling effectiveness in a production system it should be a good level on utility (utilization), but after analysed it found low utilization on line production Monoblock many problems with waste from production operators, material transfer and waiting times due to unbalanced processes resulting in less output. (not reaching the target) this has a huge impact on efficiency and productivity.
To increase output and utility, use 3 lean manufacturing methods, including Kaizen, Line balancing and Kanban super market to improve overcome problems in the production area. After implementation, utility and output become better.
PENANGANAN PENGURANGAN JUMLAH DOWNTIME BERLEBIH DARI UNIT ABC 1 DENGAN PENDEKATAN LEAN MAINTENANCE PADA PT. XYZ
Authors: Prakoso Aditya Hendi , Mahbubah Nina Aini
Published: November 2024

PT. XYZ is a manufacturing company that operates in the field of fertilizer and non-fertilizer production with the aim of helping the country realize a food self-sufficiency program. It is known that PT. XYZ has problems with excessive machine downtime in its production process. Problems occur because there is repeated damage to the machine, activities that involve waste, so that the maintenance system on one machine has not been carried out optimally. The aim of this research is to analyze maintenance activities implemented in the Company and then minimize waste in maintenance activities using a lean maintenance approach. Downtime data collection was carried out in April 2024, then data processing was carried out using equipment effectiveness to see how effective the existing equipment was, then continued with Maintenance Value Stream Mapping (MVSM) to find out waste that occurred during the maintenance process, after the cause of the waste. is known, several suggested options are given to minimize the waste that occurs. From the implementation of the recommendations made, the machine equipment effectiveness value increased from 92% to 97%, the maintenance effectiveness value increased from 41.6% to 66.7%.
PENGUKURAN KINERJA PRODUKSI FURNITURE FLOORING BERBASIS METODE SUPPLY CHAIN OPERATION REFERENCE PADA UD. AZB
Authors: Agachi Muhammad Rigam , Mahbubah Nina Aini
Published: November 2024

This research aims to measure the supply chain performance of a furniture company located in Gresik Regency, namely UD. AZB. In its production process, not only growth occurs but the company also faces problems, including a lack of product marketing strategies and miscommunication between the owner and suppliers, the owner and workers, and the owner and customers. Supply Chain Operation References (SCOR) is the methodological approach used in this research. In addition, weighting was also applied to each core process, attribute, and Key Performance Indicators. Meanwhile, snorm de bour normalization was used to standardize the values of the Key Performance Indicators. The results of the production performance measurement of flooring furniture at UD. AZB obtained 14 KPIs. The production performance value is 84.58 good indicators. This research is expected to help improve the performance of UD. AZB by conducting evaluations and enhancements in areas that are still lacking in order to increase customer satisfaction.
Chapter 8. REJON UMOCNIONY HEL 1939 – KONCEPCJA SYSTEMU UZBROJENIA: TEORIA I PRAKTYKA
Authors: Franz Maciej
Published: November 2024

In the interwar period, the Polish state made many preparations for the future war. However, he managed to prepare only one Fortified Region, capable of fighting the enemy. It was built on the Hel Peninsula, on the Baltic Sea, becoming the foundation of the defense system of the Polish coast. A battery of 152.4mm Bofors guns was installed in the Hel Fortified Region, which was the most powerful such battery in interwar Poland, and at the same time the foundation of the defense system. Her location, camouflage, allowed her to win all duels with German warships in 1939. The Hel Fortified Region and its war history in 1939 can still be proof that the proper use of the terrain, saturation with appropriate weapons, in the hands of a well-trained soldier, has the right to bring the expected results. The war is changing, but the search for a compromise between the capabilities of the battlefield, the weapons and the training of the soldiers remains constant, so as to create the best conditions for them to take up the fight and end it victoriously
Chapter 11The weaker against the stronger. War in the Air - Poland 1939 and Ukraine 2022
Authors: Kharuk Andrij
Published: November 2024

Poland in September 1939 and Ukraine in February 2022 found themselves in a very similar situation: they had to face an enemy that prevailed not only numerically, but also qualitatively. The entire territory of our countries was under air strikes, there were no safe areas. This situation has become an extremely serious challenge for military aviation and the air defense system of our countries. The fundamental difference between the situation of the two victims of aggression was that in September 1939, Poland was a signatory of binding interstate alliance treaties, which made it possible to hope for quick and effective help from the allies in the event of aggression. Ukraine did not have such allied relations established in a legally binding form. Both Poland and Ukraine, preparing to repel aggression, had significantly less resource potential than the aggressor countries – Germany and Russia. This made it necessary to choose priorities in the modernization of the armed forces, focusing limited resources on those areas that seemed to be priorities. From the perspective of more than two years of war, it can be said that the Ukrainian air defense system coped with the challenges of wartime. Suffering significant losses during the first massive strike, it retained combat capability and showed high efficiency in resisting air attack. Why did the Polish air defense system fail to do this in 1939, despite the heroism of the pilots and anti-aircraft fighters? After all, in both cases it was necessary to face a significantly larger enemy, which, moreover, had a technological advantage. In both cases, given the insufficient capabilities of fighter aircraft, it was necessary to rely mainly on ground-based air defense equipment. In our opinion, the answer should be sought in a plane that lies beyond the confrontation in the air – in the plane of strategy and geopolitics. Germany's successful blitzkrieg and Russia's failed blitzkrieg, the lack of effective support for Poland by its allies and constant assistance to the defense of Ukraine by its partners (although its volumes were not always sufficient, and delivery times were quick). Defense forces of Ukraine stopped the advance of enemy troops, and air defense managed to minimize the consequences of enemy missile and air strikes.
Sleep Resilience: Introducing A Novel Dimension of Sleep Health
Authors: Sherriff Dustin , Ward Levi , Gnatiko Michael , Wright Andrew , Calvin Danika , Klingonsmith Bryce , Yang Chongming , Duraccio Kara M. , Kay Daniel B.
Published: November 2024

Sleep resilience is the ability to function well following sleep disturbance. We developed novel Sleep Resilience Questionnaires (SRQ) to assess current and future sleep resilience. This study investigated how sleep disturbance (SD) and sleep-related impairments (SRI) related to future sleep resilience across demographic variables. Participants (N=455) ages 18-85 (M=45) completed an online Qualtrics survey of demographic variables, PROMIS-SD and -SRI short form questionnaires, and the SRQ-future that asked participants to estimate their resilience in the face of future sleep disturbance. Confirmatory factor analysis (CFA) was used to examine factors of the SD, SRI, and SRQ-future questionnaires. The most sensitive items for modeling were retained for subsequent structural equation modeling (SEM) that examined whether demographics, SD, or SRI predicted SRQ-future latent factors. CFA confirmed that the SRQ items reliably measure of sleep resilience. Results found that future estimated sleep resilience is related to (1) older age, (2) lower education, and (3) lower current sleep related impairment but not sleep disturbance. Less education may promote sleep resilience. This, along with the finding that younger individuals appear to be less resilient in the future, suggests that there is a sleep health disparity that could be targeted through targeting sleep resilience in early life. Sleep related impairment may naturally decrease estimated sleep resilience but sleep disturbance alone does not. Our future research will explore how sleep resilience, as an important dimension of sleep health, relates to assessment of sleep disorder and can be targeted at the societal level to promote sleep health.
Biomechanical assessment of anterior plate system, bilateral pedicle screw and transdiscal screw system for high-grade spondylolisthesis: a finite element study
Authors: Dhar Utpal K. , Sultan Hadi , Aghayev Kamran , Tsai Chi-Tay , Vrionis Frank D.
Published: November 2024

Introduction

Limited information regarding the biomechanical evaluation of various internal fixation techniques for high-grade L5-S1 spondylolisthesis is available. The stiffness of the operated segment and stress on the hardware can profoundly influence clinical outcomes and patient satisfaction. The objective of this study was to quantitatively investigate biomechanical profiles of various fusion methods used for high-grade spondylolisthesis by using finite element (FE) analysis.

Methods

An FE lumbar spine model of healthy spine was developed based on a patient’s CT scan. High-grade (III-IV) spondylolisthesis (SP model) was created by sliding L5 anteriorly and modifying L5-S1 facet joints. Three treatment scenarios were created by adding various implants to the model. These scenarios included L5-S1 interbody cage in combination with three different fixation methods–the anterior plate system (APS), bilateral pedicle screw system (BPSS), and transdiscal screw system (TSS). Range of motion (ROM), von Mises stress on cage, internal fixation as well as on the adjacent annuli were obtained and compared. The resistance to slippage was investigated by applying shear force on L5 vertebra and measuring its displacement regarding to S1.

Results

Under different loading conditions all treatment scenarios showed substantial reduction of ROM in comparison with SP model. No notable differences in ROM were observed between treatment models. There was no notable difference in cage stress among models. The von Mises stress on the internal fixation in the TSS model was less than in APS and BPSS. The TSS model demonstrated superior resistance to shear load compared to APS and BPSS. No discernible difference was observed between the SP, APS, BPSS, and TSS models when compared the ROM for adjacent level L4-L5. TSS’s von Mises stress of the adjacent annulus was higher than in APS and BPSS.

Conclusions

The TSS model exhibited biomechanical superiority over the APS and BPSS models.
Progress in the study of mefloquine as an antibiotic adjuvant for combination bacterial inhibition treatment
Authors: Liang Xiaofang , Liu Zhihong , Wang Yulin , Zhang Yu , Deng Wenbo , Liu Qianqian , Lu Zhangping , Li Keke , Chang Yanbing , Wei Lianhua
Published: November 2024

Antimicrobial resistance is among the greatest threats to public health globally, and drug repurposing strategies may be advantageous to addressing this problem. Mefloquine, a drug traditionally used to treat malaria, has emerged as a promising antibiotic adjuvant, due to its ability to enhance the effectiveness of conventional antibiotics against resistant bacterial strains. In this paper, we first outline the enhancement properties of mefloquine and its mechanisms of action as an adjuvant antibiotic against multidrug-resistant bacteria. Mefloquine exhibits synergistic bacteriostatic effects when combined with colistin, β-lactams, antituberculosis drugs, quinolones, and linezolid. Potential mechanisms underlying its synergistic effects include inhibition of antibiotic efflux, disruption of bacterial cell membrane integrity, and disturbance of biofilm formation. In addition, we explore the bacteriostatic effects of several mefloquine derivatives against Mycobacterium tuberculosis and some fungi. Further, we summarize the findings of recent studies on other aspects of mefloquine activity, including its antiviral and antitumor effects. Finally, the advantages and challenges of mefloquine use as an antibiotic adjuvant in combination with antibiotics for bacterial inhibition are discussed. Overall, mefloquine shows excellent potential as an antibiotic adjuvant therapy against multidrug-resistant bacteria and is a promising candidate for combination therapy; however, further studies are needed to fully elucidate its mechanism of action and address the challenges associated with its clinical application.
Application of microscopic smartphone attachment for remote preoperative lab testing
Authors: Song Kefan , Adams Alexander T.
Published: November 2024

Introduction

Current preoperative exam guidelines utilize extensive lab tests, including blood tests and urine analysis, which are crucial for assessing surgical readiness. However, logistical challenges, especially for patients traveling long distances for high-quality medical care, create significant delays and burdens. This study aims to address these challenges by applying a previously developed point-of-care (POC) device system to perform accurate and rapid lab tests. This device is designed to assist both healthcare providers in resource-limited settings and patients by offering a low-cost, portable diagnostic tool that enables both in-clinic and at-home testing.

Methods

The system was tested for adaptability and compatibility by transitioning from its original Android platform to an iOS platform. A custom application was developed to maintain the system’s capabilities of capturing optimal cell images across different mobile platforms. The system’s cell counting algorithm was tailored to process the captured images, featuring a streamlined workflow that includes image processing and automated cell detection using a Hough circle algorithm.

Results

The new system provided good-quality raw images with 26.3 px/μm pixel resolution and 2.19 μm spatial resolution, facilitating effective cell recognition and counting. The cell counting algorithm demonstrated high precision (0.8663) and high recall (0.9312), with a correlation (R2=0.89535) between algorithm-generated counts and actual counts.

Discussion

This study highlights the potential of the POC device to streamline preoperative testing, making it more accessible and efficient, particularly for patients in rural areas or those needing to travel for medical care. Future enhancements, including wider field-of-view, adjustable magnification, more advanced and integrated algorithms as well as integration with a microfluidic channel for direct sample analysis, are proposed to expand the device’s functionality. The device’s portability, ease of use, and rapid processing time position it as a promising alternative to traditional lab tests, ultimately aiming to improve patient care and surgical outcomes.
Scale dependent nanomechanical properties of dentin adhesive and adhesive-collagen composite
Authors: Singh Viraj , Parthasarathy Ranganathan , Ye Qiang , Spencer Paulette , Misra Anil
Published: November 2024

The complex micrometer construct at the interface that joins the composite material to the tooth surface in restorative dentistry is composed of the composite formed by infiltrating adhesive into demineralized dentin (collagen matrix). The overall performance of composite restorations is therefore directly linked to the properties of the polymerized adhesive and adhesive-collagen composite. Nanoindentation and nanoDMA tests are performed on model methacrylate based adhesive and collagen-adhesive composite to study their mechanical properties. The adhesive collagen composite is prepared by the infiltration of dentin adhesive into a completely demineralized bovine dentin. The obtained experimental results show that both the neat adhesive and the collagen-adhesive composite are heterogeneous materials at the spatial scales of property interrogation. It is also found that the reduced elastic modulus generally decreases with increasing indentation contact depth reaching an asymptote for both neat adhesive and collagen-adhesive composite. This reduced modulus behavior can be attributed to the increase in the indentation interaction volume. In addition, the measured frequency dependent storage and loss moduli indicate that both the neat adhesive and collagen adhesive composites are viscoelastic materials which are likely to exhibit creep deformation and rate-dependent behavior in physiological function.
Automated machine learning for image-based detection of dental plaque on permanent teeth
Authors: Nantakeeratipat Teerachate , Apisaksirikul Natchapon , Boonrojsaree Boonyaon , Boonkijkullatat Sirapob , Simaphichet Arida
Published: November 2024

Introduction

To detect dental plaque, manual assessment and plaque-disclosing dyes are commonly used. However, they are time-consuming and prone to human error. This study aims to investigate the feasibility of using Google Cloud's Vertex artificial intelligence (AI) automated machine learning (AutoML) to develop a model for detecting dental plaque levels on permanent teeth using undyed photographic images.

Methods

Photographic images of both undyed and corresponding erythrosine solution-dyed upper anterior permanent teeth from 100 dental students were captured using a smartphone camera. All photos were cropped to individual tooth images. Dyed images were analyzed to classify plaque levels based on the percentage of dyed surface area: mild (<30%), moderate (30%–60%), and heavy (>60%) categories. These true labels were used as the ground truth for undyed images. Two AutoML models, a three-class model (mild, moderate, heavy plaque) and a two-class model (acceptable vs. unacceptable plaque), were developed using undyed images in Vertex AI environment. Both models were evaluated based on precision, recall, and F1-score.

Results

The three-class model achieved an average precision of 0.907, with the highest precision (0.983) in the heavy plaque category. Misclassifications were more common in the mild and moderate categories. The two-class acceptable-unacceptable model demonstrated improved performance with an average precision of 0.964 and an F1-score of 0.931.

Conclusion

This study demonstrated the potential of Vertex AI AutoML for non-invasive detection of dental plaque. While the two-class model showed promise for clinical use, further studies with larger datasets are recommended to enhance model generalization and real-world applicability.
A study on groundwater level calculation based on PCA-CIWOABP
Authors: Zhang Xiaolei , Guo Xiaoyi , Liu Shuyu , Shang Xiutang , Xu Zhiheng , Zhao Jiankun
Published: November 2024

In order to explore the relationship between groundwater levels and hydro-meteorological factors in Fengnan District, accurate estimation of groundwater levels in the area was undertaken. Real data on groundwater levels, water consumption, and rainfall from 2018 to 2021 in various townships within Fengnan District were selected. Utilizing the Principal Component Analysis method, the main influencing factors were extracted from the hydrological data of each township. Subsequently, a groundwater level calculation model was established using the CIWOABP(Cubic map - Intelligent weight adjustment - Whale Optimization Algorithm–Back Propagation) neural network in combination with these factors. The results indicate that: (1) Principal Component Analysis extracted a total of five principal components from various hydrological data in Fengnan District, namely, groundwater levels of monitoring wells #11 and #12, rainfall from rainfall station r1, and water consumption from Fengnan (FN) and Qianying (QY) towns. (2) The CIWOABP neural network was trained using 36 sets of actual measurement data and validated with 12 sets of simulated data. The mean absolute errors (MAE) for monitoring wells #11 and #12 were 0.19 and 0.23 respectively, and the mean squared errors (MSE) were 0.05 and 0.09 respectively. The model exhibited high computational accuracy and can be effectively employed to calculate actual groundwater levels. The research outcomes can provide theoretical and methodological insights for groundwater resource management in the North China Plain.
Elucidating the causal links between plasma and cerebrospinal fluid metabolites and pituitary tumors: a Mendelian randomization analysis
Authors: Wang Wencai , Liu Menghao , Wang Zun , Ye Wei , Li Xianfeng
Published: November 2024

Background

Pituitary tumors (PTs) are common benign intracranial tumors. Investigating the metabolites in serum and cerebrospinal fluid in PTs is essential to understanding the underlying biological mechanisms and identifying new biomarkers and therapeutic strategies.

Methods

We used the GWAS dataset of PTs from the FinnGen database, a dataset of 486 plasma metabolites from the GWAS catalog database, and a dataset of 338 cerebrospinal fluid (CSF) metabolites from the WADRC and WRAP study collections. An inverse variance weighting (IVW) approach was utilized as the mainly method to investigate causality between metabolites and PTs, supplemented by four complementary methods to strengthen our findings. Additionally, we utilized several sensitivity methods to guarantee the robustness of our findings.

Results

The study identified 17 plasma metabolites and 10 CSF metabolites related to PTs. Among these, 11 metabolites indicated a significant positive causality with PTs, while 16 displayed a remarkable negative causality. Particularly, plasma levels of 3-dehydrocarnitine (OR = 2.73, 95% CI = 1.55–4.83, P = 0.001) and acetylcarnitine (OR = 0.35, 95% CI = 0.19–0.63, P = 0.001) were found to be significant exposure factors for PTs. Multiple sensitivity analyses confirm the robustness of the results. The study found no evidence of a reverse causality between PTs and the plasma levels of 3-dehydrocarnitine and acetylcarnitine.

Conclusions

The present study identified 27 metabolites associated with the incidence of PTs, among which 3-dehydrocarnitine and acetylcarnitine are the most noteworthy.
Comparison between thyroid stimulating immunoglobulin and TSH-receptor antibodies in the diagnosis and management of Graves’ disease
Authors: Yao Peiwei , Xie Yunliang , Wang Yunlin , Liang Chunyan , Huang Bingwen
Published: November 2024

Introduction

TSH-receptor antibodies (TRAb) directed against the TSH receptor (TSH-R) induce hyperthyroidism in patients with Graves′ disease (GD). TRAb detected by previous radioimmunoassay only reflects the presence of autoantibodies, but not the function of such antibodies. Thyroid stimulating immunoglobulins (TSI) is a relatively new method for assessing TSH-receptor antibodies function. The aim of this study was to investigate the role of TSI in the diagnosis and management of GD.

Methods

Patients with newly diagnosed GD (n=140, age 38.00 ± 11.99 years, 106 women) received pharmacological therapy (methimazole) up to 18 months in the outpatient or inpatient department of the Second People’s Hospital of Foshan City from January 2013 to December 2018. GD was identified by clinical signs and symptoms and relevant laboratory tests. Blood samples for TSI and TRAb and other thyroidal biomarkers were obtained at baseline and at three times during the follow-up. All patients with GD were followed up for at least 5 years to see if the patient was cured or had relapsed.

Results

TSI and TRAb in GD patients were significantly higher than those in the normal control group (P<0.001), and there was a strong correlation between TSI and TRAb in GD patients (P<0.001). After treatment, TSI and TRAb significantly decreased (P<0.05), TSI and TRAb in patients with disease course more than 2 years were significantly higher than those in patients with disease course less than 2 years (P<0.05), There was no statistically significant difference in TSI and TRAb at initial diagnosis between patients with a disease duration of more than 2 years and less than 5 years and those with a disease duration of more than 5 years (P>0.05); if the patients were still positive for TSI or TRAb antibodies at 5 years of follow-up after treatment with anti-hyperthyroidism medication, the patients were at a higher risk of relapse (P<0.001).

Conclusion

The higher TSI at the initial diagnosis of GD, the longer duration of treatment with anti-hyperthyroid drugs and the higher risk of relapse. Compared with TRAb, serum TSI level is also important in the clinical diagnosis and prognosis of GD, but which one is superior to the other needs further study.