bluuebunny/crossref_metadata_2025_split huggingface dataset:
Computational simulation to assess patient safety of uncompensated COVID-19 two-patient ventilator sharing using the Pulse Physiology Engine
Authors: Webb Jeffrey B. , Bray Aaron , Asare Philip K. , Clipp Rachel B. , Mehta Yatin B. , Penupolu Sudheer , Patel Aalpen A. , Poler S. Mark 
Published: November 2020

Background
The COVID-19 pandemic is stretching medical resources internationally, sometimes creating ventilator shortages that complicate clinical and ethical situations. The possibility of needing to ventilate multiple patients with a single ventilator raises patient health and safety concerns in addition to clinical conditions needing treatment. Wherever ventilators are employed, additional tubing and splitting adaptors may be available. Adjustable flow-compensating resistance for differences in lung compliance on individual limbs may not be readily implementable. By exploring a number and range of possible contributing factors using computational simulation without risk of patient harm, this paper attempts to define useful bounds for ventilation parameters when compensatory resistance in limbs of a shared breathing circuit is not possible. This desperate approach to shared ventilation support would be a last resort when alternatives have been exhausted.

Methods
A whole-body computational physiology model (using lumped parameters) was used to simulate each patient being ventilated. The primary model of a single patient with a dedicated ventilator was augmented to model two patients sharing a single ventilator. In addition to lung mechanics or estimation of CO2 and pH expected for set ventilation parameters (considerations of lung physiology alone), full physiological simulation provides estimates of additional values for oxyhemoglobin saturation, arterial oxygen tension, and other patient parameters. A range of ventilator settings and patient characteristics were simulated for paired patients.

Findings
To be useful for clinicians, attention has been directed to clinically available parameters. These simulations show patient outcome during multi-patient ventilation is most closely correlated to lung compliance, oxygenation index, oxygen saturation index, and end-tidal carbon dioxide of individual patients. The simulated patient outcome metrics were satisfactory when the lung compliance difference between two patients was less than 12 mL/cmH2O, and the oxygen saturation index difference was less than 2 mmHg.

Interpretation
In resource-limited regions of the world, the COVID-19 pandemic will result in equipment shortages. While single-patient ventilation is preferable, if that option is unavailable and ventilator sharing using limbs without flow resistance compensation is the only available alternative, these simulations provide a conceptual framework and guidelines for clinical patient selection.
´´´Regionalización perinatal y redes de servicios: el caso de una región sanitaria del conurbano bonaerense y sus capacidades estatales
Authors: Pierini Clara 
Published: November 2020

El artículo aborda la “Regionalización de la Atención Perinatal” en el conurbano bonaerense. Analiza las capacidades estatales de las Regiones Sanitarias (RS) frente al desafío de la coordinación y articulación del trabajo regionalizado y en red, con énfasis en la RS VII. La estrategia metodológica es cualitativa. Incluye el relevamiento y sistematización de datos secundarios y la elaboración y análisis de datos primarios (entrevistas). El recorrido muestra limitaciones y logros. La RS muestra debilidades en términos de instituciones formales y recursos, como también al observar aristas vinculadas al diseño de la política y la relación con el nivel nacional. Entre los avances, se evidencia que existen ideas orientadoras compartidas entre los actores involucrados acerca de cuál es el problema a enfrentar y qué hacer, y la existencia de cierta “conciencia de red”. Sobresalen las capacidades individuales de los gestores para establecer vínculos informales y alcanzar soluciones “caso por caso”.
Análisis de variables relevantes para la promoción del léxico y el desempeño académico en estudiantes de primer año de nivel superior
Authors: Zapico Martín Gonzalo , Degregori Lucía , Berardo Itatí 
Published: November 2020

Academic performance is a multivariate phenomenon of complex analysis. Among the multiple causes that have been studied, lexicon stands out as an interesting variable since, in addition to being explanatory, it is a skill that can be trained and reinforced in a relatively short time. Given this situation, in this paper we proposed to analyze which variables are the most important in terms of a high score in a lexical test. We analyzed age, sex, school origin, maximum schooling reached parents and reading habits in 200 freshmen from different majors at Universidad Nacional de Mar de Plata, Argentina and Universidad Nacional de San Luis, Argentina in the year 2019. The results indicate that the variable that has the greatest incidence in statistical terms is that of reading habits, which means that it is necessary to promote this practice from primary and secondary levels.
Rancang Bangun Penstabil Drone S2GA Berbasis Metode Fuzzy Logic Menggunakan Arduino
Authors: Pambudi Wahyu , Darmawan Yudhi , Choirina Priska 
Published: November 2020

UAV merupakan wahana teknologi canggih yang sering digunakan di bidang militer untuk misi pengintaian. UAV terdiri dari beragam jenis, salah satunya yaitu quadcopter. Quadcopter yang digunakan dalam misi militer biasanya mempunyai masalah ketidakstabilan ketika quadcopter tersebut terbang membawa senjata. Oleh karena itu, maka diperlukan sebuah sistem untuk mengatur kestabilan dari percepatan motor quadcopter. Pada paper ini dipaparkan sebuah desain system dari stabilizer drone dengan metode logika fuzzy menggunakan 3 derajat. Penelitian ini bertujuan untuk mengkonfigurasikan kontrol kestabilan quadcopter yang optimal setelah diterapkan metode fuzzy logic inferensi Tsukamoto. Input dari system ini adalah percepatan dan perubahan percepatan. Sedangkan output yang dihasilkan berupa kecepatan motor. Untuk mengetahui error dilakukan pengujian ketepatan posisi 5 kali pada ketinggian 1-3 meter. Sedangkan untuk mendapatkan waktu quadcopter untuk kembali ke posisi semula dapat menggunakan stopwatch. Penelitian ini bertujuan untuk mengkonfigurasikan kontrol kestabilan quadcopter yang optimal setelah diterapkan metode fuzzy logic inferensi Tsukamoto. Hasil penelitian dengan logika fuzzy untuk kestabilan menunjukan nilai rise time sebesar 0,7 detik, settling time 2,55 detik, overshoot sebesar 15 % ketika menerima gangguan sebesar 45cm, dan nilai steady-state 69,55 cm dengan simpangan baku sebesar ± 1,775 cm. Hasil tersebut memberikan akurasi dalam menentukan kestabilan yang lebih baik pada quadcopter. UAV is one of the advanced technology that used in the military for reconnaissance missions. UAV consists of various types, one of them is a quadcopter. Since the quadcopter in military missions has an instability problem when they fly with a weapon, they needed to stabilize the acceleration of a quadcopter motor. This paper presents a design system of drone stabilizer using fuzzy logic method based on 3 degrees of freedom to improve stability. Fuzzy logic that used to configure optimal quadcopter stability control is Tsukamoto's inference fuzzy logic method. The input of this system are acceleration and acceleration change. While, the output of this system is the speed of motor. We did 5 times experiment to find out the accuracy of this system at an altitude of 1-3 meters. Furthermore, to get the quadcopter time from return to its original position we used a stopwatch. Based on the experiments, we obtained a rise time value of 0.7 seconds, settling time of 2.55 seconds, overshoot of 15% when receiving interference of 45cm, and a steady-state value of 69.55 cm with a standard deviation of ± 1.775 cm. These result show that fuzzy logic provide a better accuracy in determining stability on quadcopter.
Rancang Bangun Sistem Monitoring PH dan Suhu Air pada Akuaponik Berbasis Internet of Thing (IoT)
Authors: Megawati Dini , Masykuroh Kholidiyah , Kurnianto Danny 
Published: November 2020

Akuaponik yang menyatukan sistem budidaya tanaman hidroponik dengan ternak ikan sangat pesat belakangan ini karena menghemat lahan yang digunakan. Sistem akuaponik yang dibahas pada paper ini menggunakan ikan lele dan tanaman kangkung sebagai kombinasi akualtur dan hidroponik dalam lingkungan yang bersifat simbiotik mutualisme. Pada pembudidayaan sistem akuaponik ini dibutuhkan perhatian yang lebih terhadap air, karena air menjadi faktor penting dalam pertumbuhan ikan dan tanaman pada akuaponik. Hal yang perlu diperhatikan yaitu kadar keasaman dan suhu air. Selama ini para pemilik akuaponik masih menggunakan cara manual dalam memonitoring kadar air. Pada penelitian ini penulis membuat solusi suatu kontrol kondisi air menggunakan sensor pH dan suhu berbasis Internet of Things yang menggunakan Arduino Uno sebagai pengontrol mikropengendali, sensor pH digunakan untuk mendeteksi kadar keasaman air, sensor suhu untuk pembacaan suhu menggunakan DS18b20, dan Wemos D1 Mini sebagai interface wifi untuk mengirim data ke firebase. Aplikasi MIT App Inventor digunakan untuk menampilkan data di smartphone pengguna. Dari hasil pengujian akurasi sensor pH air asam didapatkan rata-rata erorr sebesar 7,77%, air murni rata-rata erorr sebesar 6,97%, dan air basa rata-rata erorr sebesar 2,59%. Hasil pengujian akurasi sensor suhu air panas didapatkan rata-rata erorr sebesar 1,59%, air normal rata rata erorr 1,40%, dan suhu air panas didapatkan rata-rata erorr 1,02%. Aquaponics, which combines hydroponic cultivation systems with fish farming, is swift recently because it saves land. In this aquaponics system, catfish and kale are used to combine accumulation and hydroponics in a symbiotic mutualism environment. This aquaponics cultivation system requires more attention, such as water and temperature conditions. Water is an essential factor in the growth of fish and plants in aquaponics. Things that need to be considered are the acidity and the temperature of the water. Mostly, aquaponics owners still use manual methods to monitor water levels. In this paper, we controlled the water condition using a pH and temperature sensor. This system is based on the Internet of Things that using Arduino Uno as a microcontroller controller, a pH sensor used to detect water acidity, and a temperature sensor (DS18b20) for temperature reading, and Wemos D1 Mini as a wifi interface for sending data to Firebase, and the MIT App Inventor application as an application for display on the user's smartphone. Based on the results, the accuracy of the pH sensor for acidic water is 7.77% of error, pure water had an average error of 6.97%, and alkaline water had an average error 2.59%. The results of testing the accuracy of the hot water temperature sensor obtained an average error of 1.59%, normal water had an average error of 1.40%, and the temperature of hot water obtained an average error of 1.02%.
Desain Sistem Charger untuk Baterai berkapasitas 650 mAh Menggunakan Sel Surya
Authors: Alti Rahmi Mudia , Kusuma Fiqri Wijaya , Sovia R Evi 
Published: November 2020

Alat charger untuk baterai berkapasitas 650 mAh menggunakan sel surya merupakan uji coba alat yang digunakan untuk charger baterai berkapasitas 650 mAh menggunakan energi matahari. Baterai 650 mAh ini digunakan pada drone. Alat charger menggunakan sel surya ini digunakan sebagai alternatif pengisian energi pada baterai. Alat ini dirancang dengan menggunakan resistor, kapasitor, dioda, saklar, baterai 650 mAh, LED, sel surya, IC lm317, dan trimpot. Perangkat berupa sistem analog yang menggunakan voltage drop dan memanfaatkan step up step down serta LED sebagai indikasi pengisian. Hasil uji fungsi dilakukan dengan cara mengukur intensitas cahaya menggunakan alat lux meter, baik pada saat beroperasi maupun tidak untuk mengetahui nilai intensitas cahaya. Masing-masing panel menghasilkan keluaran tegangan rata-rata 6 Volt DC dengan arus 200mA. Untuk memenuhi kekurangan tegangan, keluaran panel surya dimasukan terlebih dahulu ke modul DC-DC Step Up. Dari modul Step Up tersebut dihasilkan tegangan keluaran sebesar 12 VDC yang kemudian dipakai oleh modul charger untuk melakukan pengisian baterai Lithium-ion Polymer (LIPO). Waktu yang efektif untuk proses pengisian baterai menggunakan sel surya adalah pada waktu siang hari sekitar pukul 11.00 sampai pukul 13.00. Dari hasil uji fungsi yang dilakukan, alat bekerja dengan baik yang ditandai dengan LED berwarna merah yang mengindikasikan sedang terjadinya proses charging. Dengan demikian, alat ini bisa dimanfaatkan sebagai pengisian energi alternatif pada drone yang menggunakan LIPO yang memiliki keterbatasan waktu terbang. The charger for a battery with a capacity of 650 mAh using solar cells is one of tools used for a battery charger with a capacity of 650 mAh using solar energy that commonly used in drones. This solar cell is as an alternative charging energy for the battery. This charger is designed using resistors, capacitors, diodes, switches, 650 mAh battery, LEDs, solar cells, IC LM317, and trimpot. An analog system based on a voltage drop and utilizes step up step down and LEDs was used as an indication of charging. The testing was carried out by measuring the light intensity using a lux meter, both during operation and not to determine the value of light intensity. Each panel produces an average voltage output of 6volt DC with a current of 200mA. To meet the shortage of voltage, the output of the solar panel is first entered into the DC-DC Step Up module. From the Step Up module, an output voltage of 12 VDC is generated which is then used by the charger module to charge the Lithium-ion Polymer (LIPO) battery. The effective time for the battery charging process using solar cells is during the daytime around 11.00 to 13.00. From the results of the function test carried out, the tool works well which is marked by a red LED which indicates the charging process is occurring. Thus, this tool can be used as alternative energy charging for drones that use LIPO which has limited flight time.
Rancang Bangun Quadcopter untuk Terbang Mengikuti Dinding Menggunakan Sensor Jarak Ultrasonik HC-SR04
Authors: Maulidin Indra , Muliady Muliady , Susanthi Yohana 
Published: November 2020

Makalah ini memaparkan perancangan dan realisasi sebuah quadcopter menggunakan sensor jarak ultrasonic HC-SR04 agar dapat terbang mengikuti dinding. Algoritma yang digunakan pada realisasi quadcopter adalah algoritma Wall Follower. Fokus pembahasan sistem tersebut adalah mengimplementasikan algoritma Wall Follower pada quadcopter agar dapat terbang navigasi dalam ruang dengan cara mengikuti dinding. Kontrol pergerakan roll menggunakan mode pengontrol ON-OFF Hysteresis sedangkan pada pergerakan yaw digunakan mode pengontrol open-loop. Nilai batas bawah dan batas atas yang digunakan pada kontrol ON-OFF Hysteresis adalah 70 cm dan 100 cm. Hasil pengujian menunjukkan quadcopter berhasil terbang mengikuti dinding sejauh 10,2 m dengan ketinggian maksimum 2,14 m. This paper explained the design and realization of a quadcopter using the HC-SR04 ultrasonic distance sensor so that it can fly following the wall. The algorithm used in the quadcopter design is the Wall Follower algorithm. The focus of the discussion of the system is implementing a Wall Follower algorithm to the quadcopter so that it can navigate following the wall. The roll movement control was using Hysteresis ON-OFF control and the yaw movement control was using open-loop control. The lower and upper limit values that were used in the Hysteresis ON-OFF control are 70 cm and 100 cm. The test results show the quadcopter can fly following the wall as far as 10.2 m and reaches a maximum height of 2,14 m.
Deteksi Plat Nomor Kendaraan dengan Hough Transform dan Harris Corner Menggunakan Akuisisi Melalui Raspberry Pi
Authors: Romadhon Noor Akhmad Gilar , Usman Koredianto , Patmasari Raditiana 
Published: November 2020

Dalam suatu tempat, seperti di mall, tempat parkir kendaraan dapat terdiri dari beberapa lantai di basement atau di bagian atas bangunan. Di samping itu juga banyak sektor yang berubah fungsi menjadi tempat parkir. Dalam situasi ini, diperlukan sistem monitoring kendaraan yang fleksibel. Pada penelitian ini dibuat sistem yang dapat mengenali jenis kendaraan berdasarkan warna dasar pada plat nomor apakah kendaraan tersebut merupakan kendaraan pribadi, umum, atau pemerintah. Data berupa citra diambil dengan menggunakan webcam melalui akuisisi Raspberry Pi. Sistem dirancang dengan menggunakan deteksi tepi dan morfologi serta menggunakan metode Hough Transform untuk memperbaiki garis tepi dan Harris Corner untuk mendeteksi sudut pada citra. Selanjutnya dilakukan proses cropping plat. Deteksi warna dasar plat nomor dilakukan dengan menggunakan ruang warna YcbC. Selain itu, dilakukan perhitungan waktu proses akuisisi dan waktu proses keseluruhan ketika Raspberry Pi dan laptop melakukan proses deteksi. Berdasarkan hasil pengujian, sistem mendapatkan hasil terbaik sebesar 100% saat deteksi plat nomor kendaaraan pribadi dan hasil terburuk sebesar 70% saat deteksi plat nomor kendaraan umum. Rata-rata akurasi yang didapatkan pada sistem ini sebesar 88,9%. Akurasi tersebut diperoleh dengan 90 data uji. Rata-rata waktu komputasi adalah 0,99 detik, yang artinya proses pendeteksian dilakukan cukup cepat. In some place, such as in a mall, a vehicle parking lot can consist of several floors in the basement or at the top of a building. In addition, many sectors have also been turned into parking lots. In this situation, a flexible vehicle monitoring system is needed to detect the type of vehicle ownership through the base color on the license plate connected to the Raspberry Pi, which is expected to be able to mitigate this problem. This research develop a system that can recognize the type of vehicle based on the color of the plate number whether the vehicle is a private, public, or government vehicle. The data consists of images taken using a webcam through the acquisition of Raspberry Pi. The system was designed by using edge detection, morphology, the Hough Transform method to correct the edge, and Harris Corner to detect angles in the image, after which the plate cropping process is carried out. The license plate base color is detected using the YCbCr color space, and the system will also measure the quality of the network between the Raspberry Pi and the laptop used during the detection process. The system gets the best results at 100% when detecting private vehicle license plates and the worst results at 70% when detecting public vehicle license plates. The average accuracy obtained in this system is 88,9% that used 90 test data. The average computation time is 0,99 seconds, which means that the detection process is quite fast.
FREE SEMIGROUP PRESENTATIONS
Authors: Francis Nwawuru 
Published: November 2020

Let and be two free semigroups. We define external direct product of two free semigroups as an ordered pair of words such that and .We investigate the presentations of external direct product of free semigroups, state and prove under some conditions that the external direct product of two finitely generated free semigroups is finitely generated, also the external direct product of two finitely presented free semigroups is finitely presented.
Cardiac murmur in a neonate: how significant is it?
Authors: Pathak Gargi H. , Chauhan Anuya V. , Nayak Kesha 
Published: November 2020

Background: There is a popular belief that cardiac murmurs are common in neonate and most are innocent or physiological. However, a cardiac murmur may be the first sign of a serious structural cardiac disease in neonate. Objective of study was conducted to determine the clinical significance of cardiac murmur as a sole clinical sign in neonate.Methods: 100 neonates having cardiac murmur were selected from neonatal intensive care unit of department of pediatrics BJMC Ahmedabad from June to November 2019. Murmurs were clinically classified as innocent or significant murmur. Echocardiography was done at UN Mehta institute of cardiology for confirmation of the diagnosis and then patients were reclassified as innocent murmur and structural heart defect. structural heart defects were further subdivided into physiological variant or significant heart defect.Results: Amongst 100 neonates studied, sixty two percent cases with murmur were found to have structural heart defect and 38% had innocent murmur. Among the cases with structural heart defect. 65.3% were found to have significant heart defect and 34.7% were physiological variant. Clinical suspicion was able to differentiate innocent murmur or structural heart defect (p<0.05) as well as physiological variant versus significant heart defect (p<0.05).Conclusions: Confident diagnosis of heart disease in the newborn period on clinical examination is probably possible by pediatricians or neonatologists. However, for confirmation of diagnosis, early echocardiographic evaluation is necessary.
Alymphoid cystic thymic dysgenesis - FOXN1 gene mutation: a rare case report of two siblings
Authors: Sohail Abdus Subhan , Krishnamurthy Vidya , Sanikam Hareesh , Kariyappa Pushpalatha , Rao Udayakumar Seetharam 
Published: November 2020

Alymphoid cystic thymic dysgenesis is a severe combined immunodeficiency (SCID) syndrome caused b y a mutation in fork head box N1 gene (FOXN1) on chromosome 17. It is a transcriptional factor regulating the development, differentiation and function of thymic epithelial cells; maintaining T-lineage progenitors in bone marrow; promoting terminal differentiation of epithelial cells of hair follicles. Mutation in FOXN1 is known to cause a rare disorder characterized by rudimentary thymus gland (primary lymphoid organ for T-cell differentiation), T-cell immunodeficiency, congenital alopecia totalis and nail dystrophy. Here we report two affected siblings from a non-consanguineous family with similar features of alopecia totalis, nail dystrophy and failure to thrive. The first child was a 7-month-old female baby, with history of two hospitalization in the past for lower respiratory tract infection, had left axillary lymphadenopathy (BCG adenitis), alopecia totalis, nail dystrophy and hepatosplenomegaly. Bronchoalveolar lavage secretion was positive for Mycobacterium tuberculosis and Pneumocystis carinii pneumonia by gene Xpert and polymerase chain reaction respectively. Immunodeficiency panel workup revealed combined T cell and B cell immunodeficiency, genetic analysis by whole exome sequencing revealed recessive missense mutation in exon 6 of FOXN1 gene on chromosome 17. Due to lack of sufficient literature it was reported as variant of unknown significance and to establish its clinical significance the carrier status of both the parents was established. Second child presented to us at 3 months of age, also had similar phenotypic features and on evaluation had very low lymphocyte subset count however mutational analysis could not be done in this child due to parent’s denial. Hence, we conclude this child also was affected.