bluuebunny/crossref_metadata_2025 huggingface dataset:
Effectiveness of a Training Program Based on the Theory of Successful Intelligence in Developing Critical Thinking and Improving Academic Achievement among Gifted Students of Low Academic Achievement
Authors: OmaR Mohammad Kamal Abo El-Fetouh Ahmad
Published: August 2022

The study was designed to develop critical thinking, improve the academic achievement motivation, and promote the attitude towards serious creativity among a sample of gifted students with low academic achievement in Jazan, Saudi Arabia. The sample consisted of 18 gifted students enrolled in Prince Nasser bin Abdulaziz Center for the gifted, aged between (12-13) years with an average of (12.33) years and with a standard deviation of (1.22) degrees. The researcher used a training program based on the theory of successful intelligence. The researcher used many scales to measure the dependent variables of the study. The results of the study indicated that there are statistically significant differences between the pre and post-test of critical thinking and motivation towards academic achievement and the attitude towards serious creativity in the post-test (the best measurement).

Keywords: Successful intelligence, Critical thinking, Trend towards serious creativity, Gifted students with low academic achievement, Academic achievement motivation.
Nature of models in biology learning
Authors: Roshayanti Fenny , Ramayanti Rizqi , Hayat Muhammad Syaipul , Rakhmawati Reni
Published: August 2022

A model is a key element in the daily practice of biologists, students, and teachers in learning biology. The existence of models, both physical and non-physical models, is crucial in learning implementation. Therefore, this article aims to explain the importance of the nature of model (NoM) in learning biology. This study used the literature review method. The literature review contains reviews, summaries, and the author's thoughts on several library sources. Thus, this study provides a description, summary, and information about the nature of models, especially in biology learning. Based on the literature study results, the study of the nature of models in the biology class is on the implementation of learning, teaching materials, and assessments. Models can be divided into types and characteristics that become alternative solutions to represent an object since biology studies a lot about living objects.Abstrak Model merupakan elemen kunci dalam praktik sehari-hari bagi para ahli biologi, siswa guru dalam pembelajaran biologi. Keberadaan model baik itu model fisik maupun nonfisik sangat penting dalam pelaksanaan pembelajaran. Oleh karena itu, tujuan dari penyusunan artikel ini adalah untuk menjelaskan pentingnya hakikat model dalam pembelajaran biologi. Kajian ini menggunakan metode studi kepustakaan (literature review). Studi kepustakaan berisi ulasan, rangkuman dan pemikiran penulis tentang beberapa sumber pustaka. Dengan demikian, kajian ini memberikan deskripsi, ringkasan dan informasi mengenai Nature of Models khususnya dalam pembelajaran biologi. Berdasarkan hasil studi literatur, kajian Nature of Models dalam kelas biologi terdapat pada pelaksanaan pembelajaran, bahan ajar, dan asesmen. Model dapat dibagi ke dalam tipe dan karakteristik yang menjadi solusi alternatif untuk merepresentasikan suatu objek, karena ilmu biologi banyak mempelajari tentang objek-objek kehidupan.
Analysis of project-based learning videos on biology subjects
Authors: Riudin Hartini , Arifin Kasman , Sabilu Murni
Published: August 2022

This study aims to analyze project-based learning videos on biology subjects on YouTube. This type of research is descriptive research with qualitative approach. The object of the research was a real teaching video about project-based learning in biology subjects on YouTube. The  instrument in this research is an observation sheet that contains aspects of the activities carried out in  project-based learning which have been validated by three learning experts. The data analysis technique used is descriptive analysis, by observing learning videos and evaluating through instrument, then the data is processed and classified into categories. The results of observations of four video real teaching project-based learning in biology subjects on YouTube are in the good and sufficient categories. Each video category is video 1 received a score of 85 which was classified as good category, the videos 2 and 3 scored 71 in the good category, and the video 4 scored 61 in the sufficient category.Abstrak Penelitian ini bertujuan untuk menganalisis video pembelajaran berbasis proyek pada mata pelajaran biologi di YouTube. Jenis penelitian ini adalah penelitian deskriptif dengan pendekatan kualitatif. Objek penelitian berupa video real teaching mengenai pembelajaran berbasis proyek pada mata pelajaran Biologi di YouTube. Instrumen dalam penelitian ini berupa lembar pengamatan yang berisi aspek-aspek kegiatan yang dilakukan dalam pembelajaran berbasis proyek yang telah divalidasi oleh tiga pakar pembelajaran. Teknik analisis data yang digunakan adalah analisis deskriptif, dengan mengamati video pembelajaran dan dilakukan penilaian melalui instrumen, kemudian data diolah dan diklasifikasikan dalam kategori. Hasil pengamatan terhadap empat video real teaching pembelajaran berbasis proyek pada mata pelajaran biologi di YouTube berada pada kategori baik dan cukup. Masing-masing kategori video yaitu video 1 memperoleh nilai sebesar 85 tergolong kategori baik, video 2 dan 3 memperoleh nilai sebesar 71 tergolong kategori baik, dan video 4 memperoleh nilai sebesar 61 tergolong kategori cukup.
Practicality of pamplet learning media for Arecaceae family
Authors: Anwar Muhammad Rizki , Soendjoto Mochamad Arief , Dharmono Dharmono
Published: August 2022

This android-based learning media which we call the pamplet media (short for Palmae Plant Ethnobotany) is a means to convey palm plant ethnobotany material. The purpose of this research was to produce a practical pamplet media. The palm plants used as learning materials were those found in the Tabanio Forest, Tanah Laut Regency. Three subjects tested the readability with a test instrument in the form of a questionnaire consisting of 18 indicators. For implementation, five observers tested after observing the activities of five subjects with a ten-indicator-questionnaire in order to obtain the implementation of expectations. They did the same to the activities of ten subjects so that the actual implementation was obtained. Student responses were revealed through a ten-indicator questionnaire by five subjects to obtain an expected response and by ten subjects to obtain an actual response. The assessments were carried out with a score which were then converted to a value (%). From the results of the readability test and also the results of the implementation test which were categorized as Very Good and the results of the student responses who Strongly Agree, this pamplet media is quite practical to use, especially for learning the ethnobotany of Arecaceae plants.Abstrak Media-pembelajaran-berbasis-android yang kami namai media pamplet (kependekan dari Palmae Plant Ethnobotany) ini merupakan sarana untuk menyampaikan materi etnobotani tumbuhan palma. Tujuan dari penelitian ini adalah untuk menghasilkan media pamplet yang praktis. Tumbuhan palma yang dijadikan materi pembelajaran adalah yang ditemukan di Hutan Tabanio, Kabupaten Tanah Laut. Tiga subyek menguji keterbacaan dengan instrumen uji berupa angket yang terdiri atas 18 indikator, Untuk keterlaksanaan, lima observer menguji setelah mengamati aktivitas lima subyek dengan angket (sepuluh indikator) sehingga diperoleh keterlaksanaan harapan. Mereka melakukan hal yang sama terhadap aktivitas sepuluh subyek sehingga diperoleh keterlaksanaan aktual. Respons mahasiswa diungkap melalui angket (sepuluh indikator) oleh lima subyek sehingga diperoleh respons harapan dan oleh sepuluh subyek sehingga diperoleh respons aktual. Penilaian dilakukan dengan skor yang selanjutnya dikonversi ke nilai (%). Dari hasil uji keterbacaan dan juga hasil uji keterlaksanaan yang dikategorikan Sangat Baik serta hasil respons mahasiswa yang Sangat Setuju, media pamplet ini tergolong praktis digunakan, khususnya untuk pembelajaran etnobotani tumbuhan Arecaceae.
HABITAT DAN POPULASI BURUNG CENDERAWASIH (Paradisaea apoda) DI DESA LAININIR PULAU TRANGAN KECAMATAN ARU SELATAN KABUPATEN KEPULAUAN ARU
Authors: L. Latupapua L. Latupapua , C. K. Pattinasarany C. K. Pattinasarany , L. Kasanaborbir L. Kasanaborbir
Published: August 2022

Penelitian ini bertujuan untuk mengetahui habitat dan populasi burung cenderawasih  (Paradisaea apoda) di Desa Laininir Pulau Trangan Kecamatan Aru Selatan Kabupaten Kepulauan Aru. Metode yang digunakan dalam penelitian ini adalah metode kombinasi antara Metode IPA (Index Ponctualle de’Abondance) dengan transek jalur dan hasilnya dianalisis secara deskriptif. Hasil dari penelitian ini menunjukan bahwa pada areal penelitian di bagian timur terdapat 19 jenis vegetasi tingkat tiang dan 23 jenis tingkat pohon. Areal di bagian utara ditemukan jenis vegetasi tingkat tiang sebanyak 23 jenis dan 27 jenis tingkat pohon. Areal di bagian selatan terdapat 23 jenis  tingkat tiang dan 21 jenis tingkat pohon. Populasi di daerah bagian timur 5 ekor dengan populasi dugaan sebanyak 12 ekor/hektar, bagian utara 13 ekor dengan dugaan populasi sebanyak 28 ekor/hektar dan bagian selatan 11 ekor dengan dugaan populasi sebanyak 24 ekor/hektar. Burung cenderawasih lebih banyak dijumpai di bagian utara dan selatan karena kondisi habitat yang belum mengalami kerusakan akibat penggunaan lahan hutan oleh masyarakat.
ANALISIS PERUBAHAN PENUTUPAN LAHAN DI DALAM KAWASAN HUTAN LINDUNG GUNUNG SIRIMAU KOTA AMBON
Authors: Tuakora Marleen Annette , Mardiatmoko Gun , Lelloltery Hendrina
Published: August 2022

Tujuan dari penelitian ini adalah untuk menganalisis perubahan luas penutupan lahan yang terjadi di dalam kawasan Hutan Lindung Gunung Sirimau antara tahun 2000 s.d 2019. Metode yang digunakan dalam penelitian ini adalah metode penginderaan jauh dan SIG untuk mengetahui data perubahan penutupan lahan antara tahun 2000 s.d 2009 dan tahun 2009 s.d 2019, kemudian dilakukan pemetaan secara spasial. Hasil penelitian menunjukkan bahwa perubahan penutupan lahan di dalam kawasan Hutan Lindung Gunung Sirimau antara tahun 2000 s.d 2009 yaitu terjadi deforestasi sebesar ± 1,95 ha. Selanjutnya antara tahun 2009 s.d 2019 terjadi degradasi hutan sebesar ± 15,11 ha, deforestasi sebesar ± 35,2 ha, reforestasi sebesar ± 6,06 ha dan perubahan kelas bukan hutan lainnya sebesar ± 18,31 ha.
Methods of Simplifying Optimal Control Problems, Heat Exchange and Parametric Control of Oscillators
Authors:   Program Systems Institute of RAS, Tsirlin A. M.
Published: August 2022

Methods of simplifying optimal control problems by decreasing the dimension of the space of states are considered. For this purpose, transition to new phase coordinates or conversion of the phase coordinates to the class of controls is used. The problems of heat exchange and parametric control of oscillators are given as examples: braking/swinging of a pendulum by changing the length of suspension and variation of the energy of molecules’ oscillations in the crystal lattice by changing the state of the medium (exposure to laser radiation). The last problem corresponds to changes in the temperature of the crystal.
Southeast Asian Literature in English: Gender and Political Issues in Laotian, Burmese and Vietnamese Short Stories
Authors: Poonsri Ranwarat , Tuayrakdee Ramita
Published: August 2022

In teaching Southeast Asian literature in English in Thailand, a lecturer presented a brief historical background of each country. After lecturing on each country’s literature background, the students were assigned to write the reflection essays on short stories studied in class. Then, a lecturer summarized the issues discussed in class and from students’ reflection essays. This article is resulted from the case study of teaching modern Southeast Asian Literary Works in English at IAC international studies ASEAN-CHINA program, Faculty of Liberal Arts, Thammasat university, Thailand. A lecturer and students discovered gender and political issues in Laotian, Burmese and Vietnamese short stories. Laotian and Vietnamese short stories A Bar at the Edge of Cemetery and The Khaki Coat represent writers’ attitudes towards their communist/socialist government. Laos and Vietnam share social problems such as poverty-famine, economic inequality and class struggle. Additionally, Laotian, Burmese and Vietnamese short stories also portray gender issues such as gender inequality, women’s liberation movements, and the effects of war on women.
Motor Cortex Plasticity During Functional Recovery Following Brain Damage
Authors: Higo Noriyuki ,   Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST)  1-1-1 Umezono, Tsukuba, Ibaraki 305-8568, Japan
Published: August 2022

Although brain damage causes functional impairment, it is often followed by partial or total recovery of function. Recovery is believed to occur primarily because of brain plasticity. Both human and animal studies have significantly contributed to uncovering the neuronal basis of plasticity. Recent advances in brain imaging technology have enabled the investigation of plastic changes in living human brains. In addition, animal experiments have revealed detailed changes at the neural and genetic levels. In this review, plasticity in motor-related areas of the cerebral cortex, which is one of the most well-studied areas of the neocortex in terms of plasticity, is reviewed. In addition, the potential of technological interventions to enhance plasticity and promote functional recovery following brain damage is discussed. Novel neurorehabilitation technologies are expected to be established based on the emerging research on plasticity from the last several decades.
Time Series Analyses of the Responses to Sensory Stimuli of Children with Severe and Multiple Disabilities
Authors: Matsuda Eiko , Takenaga Tatsuki , Iwabuchi Mamoru , Nakamura Kenryu ,   Interfaculty Initiative in Information Studies, The University of Tokyo 7-3-1 Bunkyo-ku, Tokyo 113-0033, Japan,   Research Center for Advanced Science and Technology, The University of Tokyo 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan,   School of Human Sciences, Waseda University 2-579-15 Mikajima, Tokorozawa city, Saitama 359-1192, Japan
Published: August 2022

Severe and multiple disabilities (SMD) refers to the simultaneous occurrence of intellectual and physical problems. SMD in children is difficult to assess, as they often do not have the proper language or bodily responses to represent their feelings. In this study, we propose a methodology for evaluating reactions of children with SMD to sensory stimuli that does not rely on observations by humans, but rather is based on automatic detection of video-recorded data and quantification by time-series analyses. We present two case studies with typical participants: one with large body movements (P1) and another with subtle body movements (P2). For P1, it was observed that he showed larger bodily movements just before the onset of tactile stimuli, while he became silent for approximately 10 s after the onset, with the stimuli causing him to reduce self-stimulatory behavior and pay attention to his external environment. For P2, two quantitative methodologies – correlation coefficient and Granger causality – were adopted, to compare behavioral difference during the presentation of either sour or sweet taste stimuli. For the sweet conditions, the movement of the mouth was considered to be generated by some internal causes. Through these experiments, we confirmed the authenticity of assessments made by the participants’ caregivers, and also revealed otherwise unseen behavioral patterns and structures.
Olfactory Cues to Reduce Retrograde Interference During the Simultaneous Learning of Conflicting Motor Tasks
Authors: Matsuda Eiko , Misawa Daichi , Yano Shiro , Kondo Toshiyuki ,   Interfaculty Initiative in Information Studies, The University of Tokyo 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan,   Department of Computer and Information Sciences, Graduate School of Engineering, Tokyo University of Agriculture and Technology 2-24-16 Naka-cho, Koganei-shi, Tokyo 184-0012, Japan
Published: August 2022

We investigated the ability of humans to adapt to a novel environment by kinematic transformation. This adaptation was studied via behavioural experiments using a robotic manipulandum – a system designed to arbitrarily generate virtual force fields against a human hand and subsequently record the hand’s trajectory. By repeating motor tasks, this study’s participants gradually learned to move correctly under a newly experienced force field, such as rotating in a clockwise direction. However, each participant’s motor memory was destroyed if he/she experienced an opposing force field (e.g., in a counterclockwise direction) immediately after learning the initial movement, which is known as retrograde interference. In some previous studies, it has been considered that by presenting sensory cues to highlight the difference in two opposing force fields, participants can learn both force fields independently without interference. In this study, we investigated the functionality of olfactory cues – specifically lemon and lavender odors – in reducing retrograde interference. Forty-five university students participated in an experiment using a robotic manipulandum. Our results have shown that the presence of lemon odor reduces the destruction of motor memory, while that of lavender did not, suggesting that odors can enhance simultaneous motor learning but the effect depends on the type of odor used.
The Understanding of ON-Edge Motion Detection Through the Simulation Based on the Connectome of Drosophila’s Optic Lobe
Authors: Hayashi Munehiro , Kazawa Tomoki , Tsunoda Hayato , Kanzaki Ryohei ,   Graduate School of Engineering, The University of Tokyo 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan,   Research Center for Advanced Science and Technology, The University of Tokyo 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan,   Department of Mechano-Informatics, Graduate School of Information Science and Technology, The University of Tokyo 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan
Published: August 2022

The optic lobe of the fly is one of the prominent model systems for the neural mechanism of the motion detection. How a fly who lives under various visual situations of the nature processes the information from at most a few thousands of ommatidia in their neural circuit for the detection of moving objects is not exactly clear though many computational models of the fly optic lobe as a moving objects detector were suggested. Here we attempted to elucidate the mechanisms of ON-edge motion detection by a simulation approach based on the TEM connectome of Drosophila. Our simulation model of the optic lobe with the NEURON simulator that covers the full scale of ommatidia, reproduced the characteristics of the receptor neurons, lamina monopolar neurons, and T4 cells in the lobula. The contribution of each neuron can be estimated by changing synaptic connection strengths in the simulation and measuring the response to the motion stimulus. Those show the paradelle pathway provide motion detection in the fly optic lobe has more robustness and is more sophisticated than a simple combination of HR and BL systems.
Proposal and Experimental Verification of an Implicit Control Based Navigation Scheme in Unknown Environment for a Centipede Type Robot
Authors: Xiao Runze ,   Osaka University 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan, Tsunoda Yusuke , Osuka Koichi
Published: August 2022

In the past decades, robot navigation in an unknown environment has attracted extensive interest due to its tremendous application potential. However, most existing schemes rely on complex sensing systems and control systems to perceive and process the geometric and appearance information of the surrounding environment to avoid the collision, while making less use of the mechanical characteristics of the environment. In this research, in order to explore how to make a robot navigate in an unknown environment with minimal active control and minimal sensing by taking full advantage of the mechanical interactions from the environment, which is called implicit control in this study, we propose a centipede robot and its corresponding navigation scheme for navigating a 2D unknown environment without sensing information about the surrounding environment. In this scheme, the only observation input of this system is the goal direction information relative to the robot direction. Based on this scheme, we built a prototype robot and conducted navigation experiments in three environments with different levels of complexity. As a result, we obtained the navigation route map and navigation time distribution of each environment and analyzed the characteristics and applicability scenarios of the proposed navigation scheme compared to the traditional ones.
Development and Evaluation of Dorsiflexion Support Unit Using Elastomer Embedded Flexible Joint
Authors: Kikuchi Takehito , Ono Toma , Nakahara Maki , Abe Isao , Tanaka Kenichiro , Matsumoto Yasushi , Chijiwa Naoki ,   Faculty of Science and Technology, Oita University 700 Dannoharu, Oita 870-1192, Japan,   Graduate School of Engineering, Oita University 700 Dannoharu, Oita 870-1192, Japan,   Faculty of Welfare and Health Sciences, Oita University 700 Dannoharu, Oita 870-1192, Japan,   Oita Prefectural College of Arts and Culture 1-11 Uenogaoka Higashi, Oita 870-0833, Japan,   Arizono Orthopedic Supplies Co., Ltd. 1-7-5 Higashida, Yahatahigashi-ku, Kitakyushu 805-8538, Japan
Published: August 2022

In our previous study, we developed a walking support shoe with an elastomer-embedded flexible joint (EEFJ) to assist the function of tibialis anterior (TA) in initial stances (IC) and swing phases (SW). However, its usability and supporting effect have not been sufficiently evaluated. Therefore, in this study, we developed a dorsiflexion support unit (DSU) using the EEFJs with consideration on the usability for frail persons. Their needs were investigated in hearings at community centers. With reference to their comments, we proposed a three-phased scenario in which pre- / post-activities were considered as important factors of its product design of the DSU. We designed the DSU for better usability in the pre- / post-activities. Its basic function and mechanical properties were also investigated in experiments. According to the mechanical tests, the supporting torque was around 10% of the activation of TA in IC. In addition, the results of gait tests show reductions of ankle rotations by 17% and 11% in IC and SW, respectively, without significant increases of TA activations.
Анализ динамики эпидемического процесса COVID-19 в мире за неделю с 13.08.2022 г. по 19.08.2022 г.
Authors: Зимирова Анастасия , Поспелов Михаил , Иванова Александра , Дмитриева Людмила , Чумачкова Елена , Карнаухов Игорь , Щербакова Светлана , Кутырев Владимир
Published: August 2022

В обзоре представлен анализ эпидемиологической ситуации в странах мира по COVID-19, за неделю с 13.08.2022 г. по 19.08.2022 г.
Technical assessment of the Old, Mississippi, Atchafalaya, and Red (OMAR) Rivers: Mississippi River HEC-6T model
Authors: Copeland Ronald , Lewis James
Published: August 2022

The HEC-6T 1D numerical sedimentation model was used to evaluate the long-term and system-wide sedimentation effects of modifying the operation schedule at the Old River Control Complex (ORCC). The changes evaluated were the increase and decrease of the percentages of flow diverted from the Mississippi River at the ORCC and the modification of the distributions through the four ORCC structures. Also evaluated were dredging scenarios that removed sediment from the bed of the Mississippi River at the ORCC. Sedimentation effects for several operation and dredging scenarios were compared to a Base Condition that represented the existing operation protocols. The predictive simulations extended for 50 years. The model was used to calculate and compare sand transport past various gages along the Mississippi River and in the Outflow Channel. Dredging volumes at the deep-draft crossings and in Southwest Pass and above Head of Passes were compared. Differences in water-surface profiles in the vicinity of ORCC were determined.
Interaction between Basaltic Melt and Coal Xenoliths in the Trap Intrusion of Mt. Ozernaya (Siberian Platform)
Authors: Ryabov V.V.
Published: August 2022

—Coal fragments in basaltic melt were subjected to degassing, graphitization, and disintegration. As a result, the partial pressure of hydrocarbon (HC) fluids near xenoliths of graphitized coal in the melt increased, which provoked the sialic–mafic segregation of the basaltic melt, the formation of anorthosite–hortonolite association, and the separation of bitumens and ore mineral phases. The fluid-magmatic differentiation of the melt and the formation of ore phases were caused mostly by the reducing properties of HC fluids, their high affinity for metals, and their unique collective capability to adsorb microimpurities from the melt and rocks during migration and to form anomalous mineral and geochemical clusters at geochemical barriers. The diversity of ore mineral phases is due to the extraction of trace elements Fe, As, Ge, Sb, Sn, and S from coal and of Fe, Mg, Cu, Ni, Co, Pt, Pd, Rh, Au, and Ag microimpurities from the basaltic melt.
Application of Surface PM Motor Drive for Sucker Rod Pumps
Authors: Shakirov Anton , Nikonov Evgeny , Alexeev Yaroslav , Suheil Sami
Published: August 2022

For decades standard V-belt transmission with an asynchronous motor has been a traditional method to drive beam pumping units. This study describes a new approach based on the use of a Permanent Magnet Motor with no transmission.

Non-transmission drive integrates a permanent magnet motor (PMM) and smart variable frequency drive. Since rotor is mounted directly on the gearbox input shaft, with stator being mechanically attached to the gearbox housing, the technology eliminates the need for conventional V-belt transmission between the motor and the gearbox. Variable Speed Drive (VSD) can provide a more advanced control for the permanent magnet motor, embedding mathematical models with a number of options for motor speed and rod load control, operation monitoring, failure risk mitigation, and production optimization.

Application results revealed unique features of the system, that cannot be reached with a standard application. Elimination of V-belt transmission allows for safe and environmentally friendly operation with enhanced reliability and reduced non-productive time as no maintenance is required. High-efficient PM Motor (with no losses in the transmission) improves power consumption and practically demonstrate total power savings of 15-35 % if compared to the previously installed systems. The PMM system is easy to install, with installation time being less than 1 hour.

PM Motor principles of operation provide a number of options for its control through smart VSD algorithms requiring no additional sensors. Real-time up-stroke / down-stroke speed adjustment, torque control, operating trips detection and many other features can potentially improve production and expected runlife of downhole and surface equipment.

The results of this study are intended to demonstrate an effective and efficient alternative for oil production with Sucker-Rod Pumps (SRP). Application of the new type of surface drive has proved its high potential for production optimization and power consumption improvement with minimized risk of failures.
Long Term Testing of Liquid Flow Through Gas Lift Valves
Authors: da Silva Eduardo Teixeira , Rodrigues Hendy Tisserant , Maricato Andre Luiz Guedes , de Oliveira Galileu Paulo Henke Alves , de Castro Giovanna , Guerra Luiz Alberto de Oliveira , Fraga Ricardo dos Santos , Ribeiro Geraldo Afonso Spinelli Martins
Published: August 2022

This paper presents the results obtained in an extensive Gas Lift Valves (GLVs)flow trials, which were performed in an experimental liquid flow test loop. The objective was to evaluate GLVs performance with respect to their back flow retention condition, after being exposed to large volumes of flowing liquids. In case of a check valve failure, remediation strategies were also presented and evaluated.

Four different GLVs were subjected to brine flow. The tests consisted of a minimum of 15 flow cycles comprising a volume of 150 m3 (942 bbl) each, at a flowrate of 0.32 m3/min (2 bbl/min). In between cycles, the GLV was tested for back flow. The check valve test was performed with the GLV installed in its original position at the flow test loop (i.e., no need to disassemble the GLV and move it to another facility). In case of back flow failure detection, remediation strategies, such as flushing with industrial water and cycles of pressurization and depressurization, were tested.

None of the four GLVs tested completed the minimum of 15 cycles without any failure. After flushing the system with industrial water, three GLVs regained its back flow retention capabilities and the other still presented the back flow failure. In some cases, the check valve presented failure when tested inside the flow loop, but did not present the same failure when moved to the Nitrogen/calibration test bench. This event has indicated the importance of testing the back flow retention inside the flow test loop. It was also observed that pressurization and de-pressurization speed can affect the results.

Testing of liquid flow through GLVs usually involves a small volume of liquid, which may not be enough to cause problems with the check valve. In this paper we present new tests results with larger liquid volumes of liquid passing through the GLVs. The results are important to understand the condition of GLVs to handle higher flow liquid volumes.
Gas Pump – A Gas-Driven Positive Displacement Pump Artificial Lift System
Authors: Turk Stephen W. , Juenke Michael S.
Published: August 2022

Many resource play (shale) reservoirs have been drilled with highly tortuous wells. These wells are difficult to produce in their late life when production rates and pressures decline to the point where positive displacement pumping becomes necessary. Reciprocating rod pump (RRP) systems are expensive to install and operate in these conditions. RRPs’ inherent issues with friction and wear and tear on equipment are exacerbated in these kinds of crooked wells.

Gas Pump (GP) is a newly invented artificial lift system that provides the benefits of positive displacement pumping for these kinds of wells without the inherent installation costs and failure risks associated with RRP. GP uses high pressure natural gas to blow liquids out of a bottom hole accumulator chamber into the tubing (like RRP) all while isolating the reservoir from the backpressure of the column of liquid standing in the tubing, thereby enabling maximum reservoir pressure drawdown.

This paper will describe the theory behind GP's technical design and mechanical application, relay the practical equipment design and testing processes used to progress the system from concept to prototype, and conclude with GP's prototype performance assessment.
Linking Cash and Voucher Assistance with Social Protection: A case study in Gaza
Authors: Saad Saed , Read Sonja , Mountfield Ben
Published: August 2022

In the Gaza Strip, 80% of the population receives humanitarian assistance. The level of need is overwhelming, and the political and socio-economic context has crippled the traditional social protection system. Efforts to build a stronger social protection system are under way, and cash interventions are on the rise. This report explores the humanitarian cash assistance landscape in the Gaza Strip and how it interacts with social protection. It sets out a vision for a social protection architecture that supports coherence, protection, accountability and the building of resilient systems, and achieves complementarity between actors and programmes. The report also provides recommendations on how the implementation of programmes can be improved.
Can passive leg raise predict the response to fluid resuscitation in ED?
Authors: Elwan Mohammed H , Roshdy A , Elsharkawy EM , Eltahan SM , Coats TJ
Published: August 2022

ObjectivePassive leg raise (PLR) can be used as a reversible preload challenge to stratify patients according to preload response. We aim to evaluate the accuracy of PLR, monitored by a non-invasive cardiac output monitor in predicting to response to fluid resuscitation in emergency department (ED) MethodsWe recruited adult patients planned to receive a resuscitation fluid bolus. Patients were monitored using a thoracic electrical bioimpedance (TEB) cardiac output monitor (Niccomo, Medis, Germany). A 3-minute PLR was carried out before and after fluid infusion. Stroke volume changes (ΔSV) were calculated and a positive response was defined as ≥15% increase.ResultsWe recruited 39 patients, of which 37 were included into the analysis. The median age was 63 (50-77) years and 19 patients were females. 17 patients (46%) were fluid responders compared to 11 (30%) with positive response to PLR1. ΔSV with PLR1 and fluid bolus showed moderate correlation (r = 0.47, 95% confidence interval, CI 0.17-0.69) and 62% concordance rate. For the prediction of the response to a fluid bolus the PLR test had a sensitivity of 41% (95% CI 22-64) and specificity of 80% (95% CI 58-92) with an area under the curve of 0.59 (95% CI 0.41-0.78). None of the standard parameters showed a better predictive ability compared to PLR.ConclusionUsing TEB, ΔSV with PLR showed a moderate correlation with fluid bolus, with a limited accuracy to predict fluid responsiveness. The PLR test was a better predictor of fluid responsiveness than the parameters commonly used in emergency care (such as heart rate and blood pressure). These data suggest the potential for a clinical trial in sepsis comparing TEB monitored, PLR directed fluid management with standard care.
Assessment of longitudinal retention of basic sciences in clinical clerkships for continuous quality improvement
Authors: Matus Alexandra R. , Matus Lyndsey N. , Hiltz Adam , Chen Tian , Kaur Bhavneep , Brewster Pamela , Zhen Sun , Mukundan Deepa , DeShetler Lori M. , Menon Bindu
Published: August 2022

Introduction: One of the challenges in medical education is to effectively assess basic science knowledge retention. National Board of Medical Examiners (NBME) clerkship subject exam performance is reflective of the basic science knowledge accrued during preclinical education. The goal of this study was to determine if measurement of retention of basic science knowledge in the clerkship NBME subject exam can guide specific preclinical curricular changes to address the deficiencies identified. Methods: We acquired a customized NBME item analysis report of our institution’s pediatric clerkship subject exams from the academic year 2018-2019 and developed a question-by-content Q-matrix by identifying skills necessary to master content. As a pilot study, students’ content mastery in 14 major basic science content areas using a CDA model called DINA (deterministic input, noisy “and” gate) was analyzed. Results: The results allowed us to identify strong and weak basic science content areas for students in the pediatric clerkship. For example: “Reproductive systems” and “Skin and subcutaneous tissue” showed a student mastery of 83.8±2.2% and 60.7±3.2% respectively.Conclusions: Cumulative data from all the clerkships will make it possible to narrow down consistent areas of strengths and weaknesses in the undergraduate curriculum. This can guide continuous quality improvement in the medical school curriculum.
Chicken swarm optimization with an enhanced exploration-exploitation tradeoff and its application
Authors: Wang Yingcong , Sui Chengcheng , Liu Chi , Sun Junwei , Wang Yanfeng
Published: August 2022

The chicken swarm optimization (CSO) is a novel swarm intelligence algorithm, which mimics the hierarchal order and foraging behavior in the chicken swarm. However, like other population-based algorithms, CSO also suffers from slow convergence and easily falls into local optima, which partly results from the unbalance between exploration and exploitation. To tackle this problem, this paper proposes a chicken swarm optimization with an enhanced exploration-exploitation tradeoff (CSO-EET). To be specific, the search process in CSO-EET is divided into two stages (i.e., exploration and exploitation) according to the swarm diversity. In the exploratory search process, a random solution is employed to find promising solutions. In the exploitative search process, the best solution is used to accelerate convergence. Guided by the swarm diversity, CSO-EET alternates between exploration and exploitation. To evaluate the optimization performance of CSO-EET in both theoretical and practical problems, it is compared with other improved CSO variants and several state-of-the-art algorithms on twenty-two benchmark functions and two real-world problems (i.e., circle packing problem and survival risk prediction of esophageal cancer). The experimental results show that CSO-EET is better than or at least com-parable to all competitors in most cases.
A localization algorithm using Reliable Anchor Pair selection and Jaya Algorithm for Wireless Sensor Networks
Authors: . SHILPI , Kumar Arvind
Published: August 2022

A node localization algorithm using the Jaya algorithm (JA) and range-free method of reliable anchor pair (RAP) selection approach is proposed to determine the position of target nodes or unknown devices in isotropic, O-shaped, and S-shaped anisotropic wireless sensor networks (WSNs). The reliable anchor selection method separates anchor nodes into prime anchor node pairs, subprime anchor node pairs, and unreachable anchor node pairs to determine the distance between anchor node pairs and target nodes. The nature-inspired Jaya algorithm is used to predict the position of the target node. The presented work is compared with the existing localization methods, including DV(Distance Vector)maxHop, PSO (Particle Swarm Optimization), and QSSA (Quantized Salp Swarm Algorithm) based localization algorithms. The proposed approach increases localization accuracy regarding the number of anchor nodes and node density. The proposed algorithm also looks at how the degree of irregularity and computation time affect the performance.
An intelligent algorithm based on weighted similarity distances for multiple contributing prescription recognition: SIAP
Authors: Wang Yifei , Xu Julia , Zhang Jie , Xu Hong , Sun Yuzhong , Miao Yuan , Wen Tiancai
Published: August 2022

Background. Patients with chronic diseases, especially the elderly, often suffer from more than one disease in clinical practice. Different diseases have different clinical manifestations for different patients. Doctors normally will identify the primary and the secondary diseases, and then organise the corresponding medication, their dosage and duration that suit the patient best. The complex considerations present a challenge in standardization and optimization of prescriptions. What have been recorded in the medical record systems are just all the medicine prescribed, without information on the medicines for individual diseases. Therefore, being able to analyze the medical records and identify the composition of the medicines for different diseases is essential for further analysis and standardization. Methods. In this study, we developed a Subgroup Identification Algorithm for complex Prescriptions, SIAP. The algorithm can identify the‘sub’prescriptions for each diseases from a complex prescription for all the diseases. The approach firstly established a standard prescription database based on prescriptions in guidelines and expert consensus. Each disease has one or several standard prescriptions. Each prescription has a number medicines, each with a weight according to its importance. Given a complex prescription, SIAP matches its subsets to the standard prescription database with more weights assigned to medicines of higher priority, and iterate the algorithm to ind the optimal match. We collected 376 standard prescriptions (formulas) for the corresponding diseases. We further collected 1438 complex prescriptions from the clinic record system. SIAP has been verified over the data collected, in two variants of the algorithm, SIAP-All and SIAP+All. The accuracy, recall and F1 values were used to judge the merits of SIAP-All and SIAP+All algorithms, and compared to the baseline algorithm ISR. Results. Both of the SIAP-All and SIAP+All algorithms outperformed the benchmark algorithm ISR in terms of accuracy, recall, and F1 value. Particularly, the F1 values are 0.7568 for SIAP-All and 0.7799 for SIAP+All, improved 8.73% and 11.04% correspondingly over the benchmark algorithm ISR. Conclusion. The results show that the SIAP significantly outperforms the benchmark algorithm ISR. This research can help to identify and analyze medicine combinations in complex prescriptions, laid a foundation for its optimization or standardization.
Forecasting Call and Chat Volumes at Online Helplines for Mental Health
Authors: de Boer Tim Rens , Mérelle Saskia , Bhulai Sandjai , Gilissen Renske , Mei Rob van der
Published: August 2022

BackgroundEach year, many help seekers in need contact health helplines for mental support. For this, it is crucial that they receive support immediately, and that waiting times are minimal. In order to minimize delay, it is necessary that helplines have adequate staffing levels, especially during peak hours. This has raised the need for means to accurately predict the call and chat volumes ahead of time. Motivated by this, in this paper we analyze real-life data to develop models for accurately forecasting call volumes, for both phone and chat conversations for online mental health support. MethodsThis research was conducted on real call and chat data (properly anonymized) provided by 113 Suicide Prevention [1] (throughout referred to as ‘113’), the online helpline for suicide prevention in the Netherlands. Chat and phone call data was analyzed to obtain a better understanding of the important factors that influence the call arrival process. These factors were then used as input to several Machine Learning (ML) models to forecast the number of arrivals. Next to that, senior counsellors of the helpline completed a web-based questionnaire after each shift to assess their perception of the workload.ResultsThis study has led to a number of remarkable and important insights. First, the most important factors that determine the call volumes for the helpline are the yearly trend and weekly and daily cyclic patterns (cycles), while monthly and yearly cycles were found to be non-significant predictors for the number of phone and chat conversations. Second, media events which were included in this study only have limited - and only short-term - impact on the call volumes. Third, so-called (S)ARIMA models are shown to lead to the most accurate prediction in case of short-term forecasting, while simple linear models work the best for long-term forecasting. Fourth, questionnaires filled in by senior counselors show that the experienced workload is mostly correlated to the number of chat conversations in comparison to phone calls and not to the staffing level. Conclusion(S)ARIMA models can best be used to forecast the number of chats and phone calls on daily basis with a MAPE of less than 10 in short-term forecasting. These models perform better than other models showing that the number of arrivals is dependent on historical data. These forecasts can be used as support for the planning of the number of counselors needed.
microRNA-5195-3p mediated malignant biological behavior of insulin-resistant liver cancer cells via SOX9 and TPM4
Authors: Yan Jing , Xie Bei , Tian Ye , An Wenqin , Peng Zhiheng , Liu Zhuan , Li Jing , Li Linjing
Published: August 2022

Background: Primary liver cancer is a malignant tumor of the digestive system, ranking second in cancer mortality in China. In different types of cancer, such as liver cancer, microRNAs (miRNAs) have been shown to be dysregulated. However, little is known about the role of miR-5195-3p in insulin resistant liver cancer. Methods and Results: In this study, in vitro and in vivo experiments were conducted to discover the altered biological behavior of insulin resistant hepatoma cells (HepG2/IR) and we proved that HepG2/IR cells had stronger malignant biological behavior. Functional experiments exhibited that enhanced expression of miR-5195-3p could inhibit the proliferation, migration, invasion, epithelial-mesenchymal transition (EMT) and chemo-resistance of HepG2/IR cells, while impaired expression of miR-5195-3p in HepG2 cells showed the opposite results. Bioinformatics prediction and dual luciferase reporter gene assay proved that SOX9 and TPM4 were the target genes of miR-5195-3p in hepatoma cells. Conclusions: In conclusion, our study demonstrated that miR-5195-3p played a critical role in insulin resistant hepatoma cells and might be a potential therapeutic target for liver cancer.
Plant and animal protein intake and its association with depression, anxiety, and stress among Iranian women
Authors: Sheikhi Ali , Siassi Fereydoun , Djazayery Abolghassem , Guilani Bijan , Azadbakht Leila
Published: August 2022

Background
Mental disorders are conditions that affect the usual function of the brain, causing a huge burden on societies. The causes are often unclear, but previous research has pointed out, as is the case with many other diseases, that nutrition could have a major role in it. Amino acids, the building blocks of proteins, are the main precursor of neurotransmitters (the chemical messengers in the brain) malfunction of which is heavily associated with a wide range of brain disorders.
Methods
We assumed different sources of dietary protein could have different impacts on mental wellbeing. Hence, we decided to collect the nutritional data (with a validated and reliable semi-quantitative food-frequency questionnaire) from a sample of 489 Iranian women and investigate the association between animal and plant protein sources and the risk of depression, anxiety, and stress. Symptoms of these mental disorders were assessed using a validated Depression, Anxiety, Stress Scales (DASS) questionnaire with 21 items.
Results
After multivariable adjustment, it was shown that women in the highest tertile of animal protein intake were more likely to show symptoms of depression (OR: 2.63; 95% CI: 1.45, 4.71; P = 0.001), anxiety (OR: 1.83; 95% CI: 1.04, 3.22; P = 0.03), and stress (OR: 3.66; 95% CI: 2.06, 6.50; p < 0.001). while no significant association was seen between plant protein and any of the studied mental disorders.
Conclusion
Overall, our findings suggest that a diet high in animal protein could predispose individuals to mental illnesses.
USP25 inhibits renal fibrosis by regulating TGFβ-SMAD signaling pathway in Ang II-induced hypertensive mice
Authors: Liang Guang , Zhao Ying , Chen Xi , Lin Yimin , Li Zhongding , Su Xian , Ye Bozhi , Chen Yanghao , Fan Shijie , Wang Xu
Published: August 2022

Renal fibrosis is a crucial pathological feature of hypertensive renal disease (HRD). In-depth analysis of the pathogenesis of fibrosis is of great significance for the development of new drugs for the treatment of HRD. USP25 is a deubiquitinase that can regulate the progression of many diseases, but its function in the kidney remains unclear. We found that USP25 was significantly increased in human and mouse HRD kidney tissues. In the HRD model induced by Ang II, USP25−/− mice showed significant aggravation of renal dysfunction and fibrosis compared with the control mice. Consistently, AAV9-mediated overexpression of USP25 significantly improved renal dysfunction and fibrosis. Mechanistically, USP25 inhibited the TGF-β pathway by reducing SMAD4 k63-linked polyubiquitination, thereby suppressing SMAD2 nuclear translocation. In conclusion, this study demonstrates for the first time that the deubiquitinase USP25 plays an important regulatory role in HRD.