bluuebunny/crossref_metadata_2025 huggingface dataset:
Stakeholders' Perceptions of Improving Students' Acquisition of Life Skills Competencies through Social Science Curricula
Authors: Mwachande Itiha , Lukindo Jesse , Mtitu Evaristo
Published: December 2022

This study assessed stakeholders' perceptions of enhancing students' acquisition of life skills competencies through social science curricula. It was guided by an objective that reads to assess stakeholders' perceptions of improving students' acquisition of life skills competencies through social science curricula. The study was carried out in Mbeya, Chunya, Mbarali, Rungwe and Kyela districts of the Mbeya region in Tanzania, using a case study research approach. The study sample was sixty-five (65) respondents. An interview was used as a data collection method. This study recognises Geography, History and Civics curricula as social science curricula. It indicates that the perceptions of stakeholders of improving students' acquisition of life skills competencies through social science curricula are theoretically applied with no life skills orientations. The application of the curricula lacks workshops, experiments and comprehensive fieldwork activities which could add value to students during the acquisition of life skills competencies. It was realised that the curricula are teacher-centred whereby teachers prepare notes for students to copy. It is a banking model where the teacher deposits notes to students while students remain as a receiver of everything from the teacher. Students are directed to copy, read and reread notes for them to pass the national examination which helps to join the next level of schooling. It was noted that the curricula prepare bookish students with no life skills competencies. The curricula do not offer an opportunity for failure and those who pass the exams but cannot proceed with further studies due to the extreme poverty of family. It is recommended that the ministry of education, science and technology is responsible for making sure that social science curricula are implemented practically.
Editorial
Authors: Wernli Martina
Published: December 2022

Welche Bedeutung hat ,der Kanon‘ in der heutigen germanistischen und komparatistischen Literaturwissenschaft? In welchen Bereichen spielt er überhaupt noch eine Rolle und wie kann aktuelle Forschung nicht-kanonische Texte kontextualisierend analysieren und sichtbar
machen? Diesen Fragen geht dieses Heft in Einzelstudien mit Schwerpunkt auf literaturgeschichtlichen und -betrieblichen Untersuchungen auf den Grund. Im Zentrum stehen dabei die wechselseitige Beeinflussung und intersektionale Überlagerung von gender, race und class
mit Kanonisierungspraktiken. Diese Verwobenheit wird in zweifacher Hinsicht profiliert: Zum einen sind die Forderungen nach konkreten Handlungen von Interesse, die literarische und literaturtheoretische Texte seit dem 18. Jahrhundert für einen ,richtigen‘ Umgang mit Literatur
und ihren Kanones formulieren, zum anderen gehen die Beiträge der Frage nach, wie die Praxis der Kanonisierung ihrerseits zum Resultat etwa vergeschlechtlichter Handlungsweisen wird.
,,Auskehricht“: Figuren des Globalen und des Randständigen in Johann Carl Wezels Belphegor und Jonathan Swifts Gulliver’s Travels
Authors: Völker Oliver
Published: December 2022

Abstract Kurz nach seiner Veröffentlichung verschwand Johann Carl Wezels Roman Belphegor (1776) aus der öffentlichen Wahrnehmung und dem etablierten Feld der deutschen Literatur. Bisherige Lektüren haben dafür dessen Misanthropie und Skeptizismus
angeführt. In diesem Artikel lenke ich den Blick hingegen auf die Bedeutung von Marginalisierten und Entrechteten für den Roman selbst, indem ich dessen Darstellung des atlantischen Sklavenhandels und somit seine Situiertheit in den Widersprüchen der Spätaufklärung
hervorhebe. Die monotone Zeit- und Raumstruktur des Romans, so die These, macht den Handel und die Zirkulation von in Dinge verwandelten Menschen abbildbar, die im Schatten von normativen Modellen des Kosmopolitismus und universeller Rechte stehen. Aus dieser Perspektive wird Belphegor
im Kontext der europäischen Kolonialgeschichte lesbar, was durch einen abschließenden Bezug zu Jonathan Swifts Gulliver’s Travels (1726) verdeutlicht wird.
,,Ruhmdurst“: Weibliche Künstlerschaft in Helene Böhlaus Der Rangierbahnhof
Authors: Scheurer Maren
Published: December 2022

Abstract: Das Motiv des ,,Ruhmdurstes“ der jungen Malerin Olga Kovalski in Helene Böhlaus Der Rangierbahnhof (1896) dient diesem Artikel als Ausgangspunkt, um wichtige Prämissen des Kanonbegriffs aus der Sicht des ausgehenden 19. Jahrhunderts zu beleuchten.
Böhlaus Roman nimmt nicht nur die Kritik an genderspezifischen Ausschlussprozessen vorweg und thematisiert die Strukturen, die Frauen insbesondere aus der ästhetischen Avantgarde und dem Zugang zu künstlerischer Wahrheit ausklammerten, sondern formuliert auch ein relationales
Gegenmodell, in dem sich das Streben der Protagonistin ausdrücklich an andere Künstlerinnen richtet. Im Kontext des zeitgenössischen Ruhmdiskurses zeigt sich das utopische Potential des Romans: Statt einer reinen Wettbewerbslogik fordert er Kunst für Frauen, die sie als
Rezipientinnen wie als Künstlerinnen ermächtigt und die Dynamiken der Kanonisierung hinterfragt.
Und wer liest Adelheid Duvanel? Zu Mehrfachmarginalisierungen und Kanonisierungsfragen am Beispiel einer wiederzuentdeckenden Autorin
Authors: Wernli Martina
Published: December 2022

Abstract Adelheid Duvanel (1936–1996) gilt vielen noch als ,Geheimtipp‘. Nachdem ihre Texte größtenteils vergriffen waren, erschien 2021 ein Band mit den gesammelten Erzählungen, weitere Editionen sind geplant. An diesem Band, den Rezensionen
und der Editionslage können Prozesse der Kanonisierungen verfolgt werden, Prozesse, die sich gerade in einer Umbruchssituation befinden. Der Beitrag nimmt die Lektüre eines Tagebucheintrages der Autorin vor, um Einblick in das poetische Potenzial von Duvanels Schaffen zu geben. Psychiatrieerfahrung,
weibliche Autorschaft sowie lokale versus internationale Rezeption sind Aspekte, die der Beitrag als mögliche Gründe für den Verbleib in einem Schwellenraum der Kanonisierung diskutiert.
Kitsch oder Kanon? : Zur reflexiven Funktion weiblicher Skripte in Emma Braslavskys Zukunftstexten
Authors: Moser Natalie
Published: December 2022

Abstract Der vorliegende Beitrag befasst sich mit den Interferenzen der Konzepte Genre, Gender und Kanon in Near Future-Texten von Emma Braslavsky. Im Zentrum der Untersuchung stehen ihr Roman Die Nacht war bleich, die Lichter blinkten (2019) und ihre verfilmte
Erzählung Ich bin dein Mensch. Ein Liebeslied (2019). Gezeigt werden soll, dass Weiblichkeit in diesen Texten u.a. mittels einer programmierenden Hubot als Hauptfigur als subversives Skript inszeniert wird. Zum einen werden anhand weiblicher Skripte textintern heteronormative Wahrnehmungs-
und Darstellungsmuster sowie Wertungsdiskurse (z.B. in der Form des Kitsch-Vorwurfes) und Ausschlussmechanismen u.a. im Literaturbetrieb sichtbar gemacht. Anknüpfend an die Tradition der feministischen Science-Fiction wird zum anderen ein bestehende Dualismen wie Natur vs. Kultur, Natur
vs. Technik oder Mensch vs. Maschine unterwanderndes, mit kanonischen Narrationen, Diskursen und Figuren spielendes Erzählen von der nahen Zukunft etabliert.
Dürfen Schwarze Blumen malen? (Sharon Dodua Otoo). Heterogenität im Kanon und/trotz Literaturpreise(n)
Authors: Vlasta Sandra
Published: December 2022

Abstract Literaturpreise werden von der (literarischen) Öffentlichkeit als klassisches Kanonisierungsinstrument aufgefasst, das Aufmerksamkeit schafft und mitbestimmt, welche Bücher und Autor:innen in den Kanon aufgenommen werden. Genau diese Möglichkeit wurde
in den letzten Jahrzehnten von Preisen wie dem Adelbert-von-Chamisso-Preis eingesetzt, um möglichen Ausschlüssen von eingewanderten Autor:innen entgegenzuwirken und einen breiteren Kanon zu propagieren. Literaturpreise wie der Deutsche oder der Österreichische Buchpreis verbreitern
den Kanon allerdings nur bedingt.Dieser Beitrag beschäftigt sich mit der Schnittstelle von und den Wechselwirkungen zwischen Literaturpreisen, Kanon(bildung) und der Heterogenität im Literaturbetrieb der Gegenwart. Der Zusammenhang zwischen Literaturpreisen und Aufmerksamkeit
wird erläutert sowie die Gratwanderung zwischen Preisen für marginalisierte Gruppen und der gleichzeitigen Gefahr der Schubladisierung, gegen die sich nicht zuletzt die Autor:innen wehren.
Optimal Spot Pricing Evaluation in Restructured Electrical Power System
Authors: Gadge Pramod , Burade Prakash
Published: December 2022

Electricity markets in both developed and developing countries have been considerably reorganized over the previous two decades. The unbundling of generation and transmission results in restructured electricity market which enhances the competition among the market traders in the regime of open access. Therefore, the transmission pricing methods should be skilled in translating transmission costs into tariffs to allow participation, which leads to profitable effectiveness, allows the grid owner to recover prices, and makes market participants aware of the system's supply defense and consistency maintained. This research intends to (1) examine the drivers behind power transmission pricing, (2) Create AC-DC OPF-based Nodal Pricing methodology, and (3) work out prices for India’s real transmission network to enable market participants to compete and make the best decisions. Finally, the study indicated that the planned methodology is more appropriate for rising nations to achieve the goals of building extensive energy markets.
Prediction and Classification of CT images for Early Detection of Lung Cancer Using Various Segmentation Models
Authors: Nair Sneha S. , Devi Dr. V. N. Meena , Bhasi Dr. Saju
Published: December 2022

One of the most serious and deadly diseases in the world is lung cancer. On the other hand, prompt diagnosis, as well as care, could save lives. Probably the most capable imaging method in the medical world, computed tomography (CT) scans are challenging for clinicians to analyze as well as detect cancer. In recent years, there has been an increase in the use of image analysis techniques for the detection of CT scan images matching cancer tissues. Using a Computer-aided detection (CAD) system employing CT scans to aid inside the early lung cancer diagnosis as well as to differentiate among benign/malignant tumors is thus interesting to address. The primary objective of this study would be to assess several computer-aided approaches, analyze the right methodology already in use, and afterward propose a new approach that integrates enhancements to the best system currently in use. This research improves the performance of the existing retrieval system by combining various image feature extraction processes and modifying the internal layer section of the classifier. The segmentation method proposed here to identify cancer is Improved Random Walker segmentation along with Random Forest (RF) classifier and K-Nearest Neighbors (KNN) classifier. Here, the research is accomplished on the Lung Image database consortium (LIDC) datasets which is a collection of CT images and is utilized as the input images to verify the effectiveness of the suggested strategy. The accuracy of the proposed method for the detection of lung cancer with the aid of the RF classifier is 99.6 % as well as the KNN classifier is 96.4% accordingly.
A Novel Hexagonal Psuedo framework for Edge Detection Operators on Hexagonal Framework
Authors: Varghese Prathibha , Saroja Dr. G. Arockia Selva
Published: December 2022

Edge detection using a gradient-based detector is a gold-standard method for identifying and analyzing different edge points in an image. A hexagonal grid structure is a powerful architecture dominant for intelligent human-computer vision. This structure provides the best angle resolution, good packing density, high sampling efficiency, equidistant pixels, and consistent connectivity. Edge detection application on hexagonal framework provides more accurate and efficient computations. All the real-time hardware devices available capture and display images in rectangular-shaped pixels. So, an alternative approach to mimic hexagonal pixels using software approaches is modeled in this paper. In this research work, an innovative method to create a pseudo hexagonal lattice has been simulated and the performance is compared with various edge detection operators on the hexagonal framework by comparing the quantitative and qualitative metrics of the grayscale image in both square and hexagonal lattice. The quantitative performance of the edge detection on the hexagonal framework is compared based on the experimental facts. The pseudo-hexagonal lattice structure assures to be aligned toward the human vision.
Novel Predictive Control and Monitoring System based on IoT for Evaluating Industrial Safety Measures
Authors: Mali Priyadarshani Shivkumar , V Dankan Gowda , Tirmare Hemant. A. , Suryawanshi Varsha Amol , Chaturvedi Abhay
Published: December 2022

In this paper, the Accident Reduction Model (ARM) technique has been used to analyze different critical criteria in various industries. This ARM technique is used to determine the conclusions of the decision-making process. Valid data is obtained in the structure of the IoT with proper and consistent and useful information. The network address utility allows efficient sensor data. The necessary configuration procedure effectively monitors relevant sensor boundary values. Finally, we have ensured that the system will be able to provide dynamic performance in an IoT-based use of low-cost estimates and lower execution time.
Enhanced Diagnostic Methods for Identifying Anomalies in Imaging of Skin Lesions
Authors: Suryawanshi Ranjeet , R Revanna C , Rao B. Kameswara , V Dankan Gowda , Sarma Parismita
Published: December 2022

There are several types of skin diseases, to protect and keep them healthy from these ailments; an effective and efficient diagnosis is required. One of the domains used by medical experts to diagnose severe class of skin disease is medical imaging. It is non-invasive way of diagnosis in which screen of the abnormal region performs first and then the dermatologist examines the subcutaneous structure and forecasts the severity of the lesion. One severe class of lesions is skin cancer, which is categorized as melanoma and non-melanoma. Most of the research has been performed on melanoma as yet and non-melanoma cancer diagnosis is still an untouched area. The cure rate of skin cancer is high, when diagnosed at an earlier stage. The proposed approach is applicable to gray scale or single channel images and the resultant output is binary images, and this can be compared easily with the available mask in the benchmark dataset. In addition to this, the APCNN proposal minimizes the requirement of post processing step for lesion boundary detection.
Design and Development of Unmanned Aerial Vehicle (UAV) Directed Artillery Prototype for Defense Application
Authors: M Muhaidheen , S Muralidharan , S Alagammal , N Vanaja
Published: December 2022

Unmanned Aerial Vehicles (UAVs) technology is one of the fastest growing technologies nowadays and is deployed in various fields. UAVs are used in many domains such as surveillance, precision agriculture, mapping and surveying, militaries etc. UAVs can move fast, it can enable the user to look past walls and fences, and it provides a large aerial view of the area where the drone flies. UAVs can also be used to harness information from dangerous places to prevent human casualties. These advantages of UAVs allow us to use Unmanned Aerial Vehicles in many fields. This paper proposes a prototype of an automatic artillery system that can get GPS coordinates of a target location based on the intelligence provided by an Unmanned Aerial Vehicle which spots the location of the target easily. The artillery system can be used to eject a projectile and make it fall on the target position. This system has applications like riot control in urban cities. It can also be used by police or military personnel to take control over terrorist infested areas without manually entering into the region of terror. This UAV directed artillery system is a very viable, cost efficient and effective when compared to conventional methods to control riots and counter terrorists. This system enhances peace in cities and ensures safety and security of the people.
A Novel Approach for Dynamic Stable Clustering in VANET Using Deep Learning (LSTM) Model
Authors: Karne Radha Krishna , S Muralidharan
Published: December 2022

Clustering in VANETs, which dynamically evolve into wireless networks, is difficult due to the networks' frequent disconnection and fast changing topology. The stability of the cluster head (CH) has a huge impact on the network's robustness and scalability. The overhead is decreased. The stable CH assures that intra- and inter-cluster communication is minimal. Because of these difficulties, the authors seek a CH selection technique based on a weighted combination of four variables: community neighborhood, quirkiness, befit factor, and trust. The stability of CH is influenced by the vehicle's speed, distance, velocity, and change in acceleration. These are considered for in the befit factor. Also, when changing the model, the precise location of the vehicle is critical. Thus, the predicted location is used to evaluate CH stability with the help of the Kalman filter. The results showed that the befit factor performed better than the latest developments. Because of the high speed of the vehicle, dynamic changes and frequent communication link breaks are unavoidable. In order to fully perceive issue, a graphing approach employed to assess the eccentricity then the communal neighborhood. Using Eigen gap heuristic, the link dependability is determined. Trust is the final important parameter that has not yet been taken into account in the weighted method. The trust levels are specifically being evaluated for the primary users using an adaptive spectrum sensing. Long short-term memory (LSTM), a deep recurrent learning network, used to train the likelihood of detection under diverse signal and noise situations. By using LSTM model, significantly decreased the false rate. The cluster head stability has improved for high traffic density, significantly improved according to the comparative analysis with the weighted and individual metrics. The efficiency of the network has also greatly increased in terms of throughput, packet delay, packet delay ratio, and energy consumption.
Optimization of Power and Area Using VLSI Implementation of MAC Unit Based on Additive Multiply Module
Authors: Nagabushanam M , Srikanth Skandan , Mupalla Rushita , Kumar Sushmitha S , K Swathi
Published: December 2022

The development of Digital Signal Processors (DSPs), graphical systems, Field Programmable Gate Arrays (FPGAs)/ Application-Specific Integrated Circuits (ASICs), and multimedia systems all rely heavily on digital circuits. The need for high-precision fixed-point or floating-point multipliers suitable for Very Large-Scale Integration (VLSI) implementation in high-speed DSP applications is developing rapidly. An integral part of any digital system is the multiplier. In digital systems as well as signal processing, the adder and multiplier seem to be the fundamental arithmetic units. Problems arise when using a multiplier in the realms of area, power, complexity, and speed. This paper details a more efficient MAC (Multiply- Accumulate) multiplier that has been tuned for space usage. The proposed design is more efficient, takes up less room, and has lower latency than conventional designs. The performance of the Additive Multiply Module (AMM) multiplier is measured against that of existing multipliers, where it serves as a module in the MAC reducing area and delay.
Design and Speed Analysis of Low Power Single and Double Edge Triggered Flip Flop with Pulse Signal Feed-Through Scheme
Authors: Gomathi R. , Gopalakrishnan S. , Chand S. Ravi , Selvakumaran S. , Gracewell J. Jeffin , B. Kalivaraprasad
Published: December 2022

Flip flop is a fundamental electrical design component. Most electrical designs incorporate memory and their corresponding designs. The consumer electronics or end users need mobility and extended battery backup to enhance design performance. The focus on any parameter in the system is to maximize the performance of the design. Here the task is to reduce the energy use of flip flop. Due to the increased frequency clock delivered to the networks within the design, the edge or level triggered by a flip flop will contribute to power consumption. Due to the short circuit power consumption between ground and Vdd, the static design of the flip flop will increase power consumption. The flip flop is dynamically designed and implemented, leading to higher leakage power. Dynamic clock implementation helps for short-circuit power avoidance. It also provides greater download channel to the ground from output. The clocking system also demands more power. With the TSPC technology and output feedback, the suggested mechanic will increase the performance of the flip flop and establish the Pull-up network. The PMOS that contains the output node X value. The use of an additional NMOS transistor to draw the output value down to the ground, regardless of the input, so that the input runs on the discharge path that improves power, however the pulsed clock which has a smaller width than normal clock as well about 15% high.
Modelling and Analysis of Non-ideal Two stage Lift Luo Converter with Positive Output
Authors: Saravanan T.S. , Sailaja K. A. Indu , Kumar P. Marish , Suba G. Merlin , Rajan K. Palanivel
Published: December 2022

High power applications such as motor drive control requires a higher voltage level of the DC-DC power converter fed from low-level DC input sources. For increasing the output voltage, a gain of the converter is increased using the pump circuit consisting of inductors and capacitors connected in different forms. The effect of adding the energy storage elements includes the parasitic resistances in the converter and affects the performance. This research paper is intended to model and investigate the effects of non-idealities in two stages cascaded lift circuit type Luo converter with positive output voltage. To analyze the non-ideal effects, state-space averaging (SSA) technique is used to model the converter. The converter is modeled in the presence of equivalent series resistance (ESR) of inductances and capacitances to study the effect of parasitic resistances on the converter performances. The transient and frequency response of the converter is plotted using the MATLAB simulation and observed that the ringing in the transient response is damped and oscillation at corner frequency is mitigated. The effect of ESR reduces the voltage gain and improves the stability of the system by increasing the gain and phase margin. Step response and bode plot of the converter is plotted at ideal and non- ideal condition.
VLSI Implementation of Integrated Massive MIMO Systems (IMMS) for N-point FFT/IFFT Processor
Authors: Babburu Kiranmai , Kiran S S , Vadda Lavanya , Gurucharan K , Gowri B V R
Published: December 2022

The 5G technologies and OFDM introduce a substantial element of latency in the baseband Massive MIMO system. To declaim the low delay demand of multiple input and multiple outputs, a Fast Fourier Transform (FFT) and also consequent implementation was proposed. The main idea of this proposed system is to utilize the VLSI chip routing technology and reduce computations, processing time, and low latency. This proposed system is to reduce the number of computational complexities in the downlink and reorder the uplink. In OFDM implementation, the chip area of FFTs and IFFTs is occupied by memories, and these memories can be extracted using registers or RAM. An efficient data programming approach for memories and butterflies has been developed using embedded VLSI technology with multiple inputs and outputs (MIMO), known as mass embedded MIMO systems. Using this proposed scheme (Integrated Massive MIMO), N point FFT/IFFT processor design achieves a better throughput and lowest latency than for single-input pipelined FFT or IFFT architectures. In an N-point FFT/IFFT, the introduced scheme using VLSI Technology leads to more reduction in the latency. This N-point FFT/IFFT implementation is named “Integrated Massive MIMO Systems” (IMMS).
FEA Based Design of Outer Rotor BLDC Motor for Battery Electric Vehicle
Authors: . Rupam , Marwaha Sanjay , Marwaha Anupma
Published: December 2022

Due to enormous advantages, BLDC motors have been identified for the design in various applications. With its good power density, this motor is being used by the automobile industry. The paper aims to design the motor for the battery electric vehicle. The major challenge of the BLDC motor is to reduce torque ripples which appear because of high cogging torque. Torque ripple results in acoustic noise and vibrations in the battery electric vehicle which badly affects the performance of the vehicle. The cogging torque and efficiency are characterized by a parametric technique with varying pole embrace factor and magnetic thickness. The selection of optimum values of rotor pole embrace factor and magnetic thickness has a significant role in the reduction of cogging torque. The Ansys Maxwell tool helps in the optimum designing of the motor by mitigating the torque ripples and thus increasing the average torque. The proposed model has 5.7% better efficiency in comparison to the base model and has a small number of torque ripples.
Minimization of Power Loss in Distribution System by Tap Changing Transformer using PSO Algorithm
Authors: Srinivas Chodagam , Kumar I Kranthi , Pandalaneni N D V Prasad , Reddy N Madhusudhan
Published: December 2022

Energy is a primary requirement for everyone and it is available in different forms in nature, in all forms of energy “Electrical Energy” is the most significant and useful in the daily life of humans. In the last two decades, the usages of electrical & electronic devices are rapidly increased and technology modernizes lifestyles as well as simplified their lives. In this way, the load demand also significantly increased and leads to an imbalance between generated power and load demand. Load uncertainty also increased with the rise of load demand; it leads higher power losses & poor voltage in distribution system (DS). The main objective of this paper is going to discuss the minimization of losses by adjusting tap settings of the distribution transformer with the help of particle swarm optimization (PSO) algorithm. The proposed approach verified on 15 bus distribution system using MATLAB. Electric vehicle charging stations are located in the distribution system to represent the load uncertainty.
Research on Steel Surface Defect Detection Algorithm Based on Improved Deep Learning
Authors: Ren Fei , Wang GuangRong , Hu ZhiQi , Wu MinNing , Devaraj Madhavi
Published: December 2022

With the development of industrial economy, more and more enterprises use machine vision and artificial intelligence to replace manual detection. Therefore, the research of steel surface defect detection based on artificial intelligence is of great significance to promote the rapid development of intelligent factory and intelligent manufacturing system. In this paper, Yolov5 deep learning algorithm is used to build a classification model of steel surface defects to realize the classification and detection of steel surface defects. At the same time, on the basis of Yolov5, combined with the attention mechanism, the backbone network is improved to further improve the classification model of steel surface defects. The experiment shows that the Recall and mAP of improved Yolov5 perform better on the steel surface defect data set. Compared with Yolov5, the number of C3CA-Yolov5 parameters decreased by 13.02%, and the size of pt files decreased by 12.72%; the number of C3ECA-Yolov5 parameters decreased by 13.36%, and the size of pt files decreased by 13.22%.
Pengaruh Pengaruh Kemampuan Literasi Sains terhadap Minat Belajar Materi Pewarisan Sifat sebagai Evaluasi dalam Pembelajaran pada Siswa SMP
Authors: Siti Anisa Hidayati  , Sudarti Sudarti , Rif’ati Dina Handayani
Published: December 2022

Kemampuan literasi sains siswa akan menjamin ilmu pengetahuan yang diperoleh akan bertahan lebih lama sehingga akan berdampak pada minat belajar siswa yang semakin meningkat. Metode penelitian ini adalah penelitian kuantitatif deskriptif, dimana penelitian ini bertujuan untuk mengetahui pengaruh variabel kemampuan literasi sains terhadap minat belajar siswa mata pelajaran pewarisan sifat kelas IX di SMP Darul Hikmah. Teknik pengumpulan data yang dikumpulkan menggunakan teknik tes menggunakan LKPD dan kuesioner. Teknik analisis data pada penelitian menggunakan uji normalitas dengan rumus Kolmogorov-Smirnov dan analisis regresi linier berganda. Hasil rata-rata persentase skor indikator paling tinggi terdapat pada aspek kompetensi sains indikator menjelaskan fenomena sains sebesar 96% dengan kategori sangat “tinggi”. Hasil rata-rata persentase skor indikator tertinggi terdapat pada indikator perasaan senang sebesar 80% dengan kategori “sangat tinggi”. Dari hasil penelitian yang telah dilakukan didapat bahwa kemampuan literasi sains memiliki pengaruh yang signifikan terhadap minat belajar siswa mata pelajaran pewarisan sifat kelas IX di SMP Darul Hikmah.
Hubungan antara Kemandirian Belajar Siswa (Soft Skill) terhadap Kemampuan Komunikasi Matematis (Hard Skill) Siswa SMP
Authors: Nova Fahradina  , Risy Mawardati  , Siti Rahmatina
Published: December 2022

Soft Skill dalam matematika merupakan kemampuan yang penting dan harus ditingkatkan oleh siswa karena secara teori soft skill dapat meningkatkan Hard skill. Salah satu soft skill yang dimaksud adalah kemandirian belajar, sedangkan hard skill yang diteliti adalah kemampuan komunikasi matematis siswa. Jenis penelitian ini adalah penelitian kuantitatif dengan menggunakan uji statistik korelasi. Tujuan dari penelitian ini adalah untuk mengetahui apakah terdapat hubungan antara kemandirian belajar terhadap kemampuan komunikasi matematis siswa. Adapun yang menjadi populasi dalam penelitian ini adalah seluruh siswa di SMPN 1 Simpang Tiga, Pidie. Sampel dalam penelitian ini dipilih secara acak dari seluruh siswa kelas VII sebanyak 30 orang dengan kemampuan yang heterogen. Instrumen penelitian adalah soal tes kemampuan komunikasi matematis dan angket kemandirian belajar. Teknik analisis data dalam penelitian ini adalah uji statistik korelasi. Adapun yang menjadi hasil penelitian adalah terdapat hubungan yang positif antara kemandirian belajar dengan kemampuan komunikasi matematis siswa sebesar 0,622 dengan kriteria sedang dan koefisien determinasi sebesar 43,77%.
Penerapan E-Learning Berbasis Google Sites untuk Meningkatkan Higher Order Thinking Skills Peserta Didik Kelas VIII SMPN 27 Makassar
Authors: Muhammad Aqil Rusli  , Arie Arma Arsyad  , Miranda S
Published: December 2022

Penelitian ini bertujuan untuk mengetahui : (1) HOTS peserta didik kelas VIII SMPN 27 Makassar sebelum diajarkan e-learning berbasis Google Sites, (2) HOTS peserta didik kelas VIII SMPN 27 Makassar setelah diajarkan e-learning berbasis Google Sites, (3) kategori peningkatan HOTS peserta didik kelas VIII SMPN 27 Makassar, dan 4) ada perbedaan signifikan lebih tinggi HOTS peserta didik kelas VIII SMPN 27 Makassar setelah diajarkan e-learning berbasis Google Sites  daripada sebelum diajarkan e-learning berbasis Google Sites. Penelitian ini merupakan pra-eksperimen dengan one group pretest-posttest design. Sampel dipilih dengan menggunakan teknik purposive sampling sehingga terpilih 2 kelas dengan jumlah 48 peserta didik. Teknik analisis data yaitu deskriptif dan inferensial. Hasil penelitian dapat disimpulkan: (1) skor HOTS peserta didik kelas VIII SMPN 27 Makassar sebelum diajarkan e-learning berbasis Google Sites memiliki rata-rata skor keseluruhan sebesar 6,92 (kategori kurang), (2) skor HOTS peserta didik kelas VIII SMPN 27 Makassar setelah diajarkan e-learning berbasis Google Sites memiliki rata-rata skor keseluruhan sebesar 9,94 (kategori cukup), dan (3) kategori peningkatan HOTS peserta didik kelas VIII SMPN 27 Makassar adalah 0,22 (kategori rendah), dan 4) HOTS peserta didik setelah diterapkan dengan e-learning berbasis Google Sites secara signifikan lebih tinggi dari HOTS sebelum diterapkan dengan e-learning berbasis Google Sites.
Succession Management and Sustainability of Micro Organizations: South East Conundrum
Authors: Nnaeto J. O. , Madu I. L. , Ndoh J A.
Published: December 2022

Every micro organization ensures the deployment of its best practices for sustainability amidst seemingly competitive, complex and unpredictable business environment. Consequently, supportable leaders are needed to ensure longevity and sustained performance. This calls for succession management. The study therefore aimed to examine the effect of succession management on sustainability of micro organizations with a focus on the challenges in the South East. Survey method was adopted. The population of the study was infinite. However, purposive random sampling was adopted to select 50 micro organizations. Sources of data were through primary and secondary sources. Structured questionnaire was the major research instrument. The validity of instrument was determined by applying construct validity which refers to the degree to which the questionnaire measures the theoretical concept that the researchers hope to measure. A test-re-test method of reliability was adopted for the study. Simple regression analysis with the aid of Statistical Package for Social Sciences (SPSS) was adopted. The findings showed inter alia that; sustainability of micro organizations significantly depends on succession management, usually achieved through training and retention of existing employees in an organization. There is high optimism among the organizations sampled in the Southeast that adequate planning and execution of succession management will ensure productive longevity of many organizations in the geopolitical zone.The study contributed to existing knowledge on the indispensability of succession management to the sustainability of micro organizations in the Southeast. It confirms that the most efficacious means of organizational sustainability is through training and retention of existing employees of organizations. Therefore, this construct should be considered by micro organizations in planning and implementation process to remain afloat.The population of the study is limited to one geopolitical zone in the country-the South East, thus the result cannot be generalized to the remaining five zones. There is need for more studies on the remainder of the zones in Nigeria.
Media Campaigns and Public Awareness and Participation in the 2022 Voter Registration Exercise in Enugu Metropolis of Enugu State, Nigeria
Authors: Okpara Ndidiamaka
Published: December 2022

This study investigated Media Campaigns and Public Awareness and Participation in the 2022 Voter Registration Exercise in Enugu Metropolis of Enugu State, Nigeria. The study adopted quantitative (descriptive) research design. The study population was residents of Enugu metropolis who were of voter registration age. Systematic random sampling technique was adopted. Questionnaire served as instrument for data collection. Data were analysed using the Statistical Package for Social Sciences (SPSS) version 21. Findings show that the mass media contributed significantly in creating awareness for public participation in the 2022 voter registration in Enugu state, Nigeria. The study recommends more utilization of the media in political mobilization for political elections in Nigeria. Content creators in particular must also take both the diversities of media audience in the area into consideration in planning and packaging such media contents to yield desired outcomes.
The Iranian Interference and Its Implications on Security of Yemen and Saudi Arabia
Authors: Alshammari Saad , Oaud Sity
Published: December 2022

The paper discusses the Iranian interference and its implications on Security of Yemen and Saudi Arabia. This research paper attempts to shed light on the reality of the local and regional conflict in Yemen, and its impact on Yemeni civil peace and regional security such Saudi Arabia. It also reveals the real goals of the regional states participating in this conflict, whether directly or indirectly. In addition, the paper presents the means and methods used by the regional powers to extend their hegemony over Yemen, and among those methods are feeding the conflict between the components of Yemeni society by supporting the parties to the conflict. The study also shows how violence has become the only means for some regional countries to achieve their strategic, economic and ideological goals, and it reveals the negative role of Yemeni elites and forces, and how these elites helped regional powers to control the country's economic imitators and others.
Analisis sentimen kenaikan harga kebutuhan pokok dimedia sosial youtube menggunakan algoritma support vector machine
Authors: Asrianto Rudy , Herwinanda Melda
Published: December 2022

Kebebasan setiap orang dalam mengemukakan pendapat, tercurahkan dalam suatu wadah yang sekarang ini disebut sebagai media sosial. Youtube merupakan media sosial berbasis web streaming video atau situs untuk mengunggah dan menonton video. Memasuki pekan kedua bulan Januari tahun 2022, terjadi kenaikan harga bahan kebutuhan pokok diumumkan dibeberapa media berita online. Didalam forum diskusi channel media sosial Youtube telah dibahas mengenai survei kepuasan masyarakat, terhadap kepemimpinan presiden Jokowi-Ma`ruf Amin yang memperoleh nilai tingkat kepuasan 66-73 %. Diluar sana masyarakat umum merasa tidak puas karena kenaikan harga, dan mempertanyakan hasil survei tersebut dan kepada siapa survei tersebut dilakukan. Konten video ini mendapatkan jumlah viewers atau penonton sebanyak ratusan ribu hingga jutaan lebih, dan dibanjiri hingga puluhan ribu komentar oleh netizen. Penelitian ini menggunakan algoritma Support Vector Machine dalam mengklasifikasikan label komentar positif dan label komentar negatif, serta menggunakan teknik penyeimbangan jumlah label pada data yaitu SMOTE. Dari pengujian keempat model klasifikasi SVM, didapatkan SVM linear dengan SMOTE mendapatkan tingkat keakuratan terbaik dengan nilai akurasi tertinggi, yaitu 86.33%, diikuti dengan nilai presisi 75%, nilai recall 66.67%, dan nilai f1-score 70.59%. Pengujian juga dilakukan pada data validasi (data uji baru diluar dari dataset), didapatkan nilai akurasi 72%.
Overview: Random Forest Algorithm for PM2.5 Estimation Based on Remote Sensing
Authors: Unik Mitra , Sri Nadriati
Published: December 2022

Studi ini merangkum penelitian tentang estimasi PM2.5 menggunakan algoritme pembelajaran mesin random forest (RF), penginderaan jauh, dan keduanya. Tujuan dari tinjauan ini adalah menyajikan studi yang komprehensif untuk memfasilitasi dan menentukan batasan, luas dan kedalaman pengetahuan yang dieksplorasi untuk memperkirakan konsentrasi PM2.5 di masa depan menggunakan RF dan pengindraan jauh. PM2.5 merupakan parameter lingkungan atmosfer yang penting, terutama karena dampaknya terhadap kesehatan manusia dan lingkungan. Terlepas dari skala spasial-temporal, perkiraan PM2.5 yang akurat penting untuk memahami dan menanggapi berbagai efek buruk dari polusi udara. Oleh karena itu, metode penginderaan jauh dan pembelajaran mesin dikembangkan untuk mendapatkan estimasi PM2.5 resolusi tinggi dan mengurangi kesalahan penilaian yang disebabkan oleh dislokasi spasial. Sejak penggunaan pertama jaringan saraf (NN) untuk mempelajari hubungan kompleks AOD-PM2.5, lebih dari 40 artikel terkait ML telah diterbitkan dalam dekade terakhir, dan lebih dari 90% di antaranya telah diterbitkan dalam lima tahun dan 75% dalam tiga tahun terakhir. Metode validasi yang mempertimbangkan pola spasial dalam validasi model ML mengungkapkan bahwa RF dan BPNN adalah yang paling populer digunakan.
El papel de la Comunicación Estratégica como como un factor de Ventaja Competitiva para la Organización
Authors: Gutiérrez-Meneses Rafael E.
Published: December 2022

Las organizaciones en la actualidad buscan nuevas fuentes de ventajas competitivas que les permitan la supervivencia en el mercado. Una de estas fuentes en la comunicación estratégica, es por ello por lo que la presente investigación ha buscado analizar y revisar el estado actual del arte frente a la comunicación organizacional como factor de la ventaja competitiva de la organización/empresa, para ello se definieron los conceptos que nutren la teoría de la comunicación, la comunicación estratégica y la relevancia de ello para garantizar ventaja competitiva. De igual forma se establecieron como herramientas estratégicas de comunicación en la organización los modelos de comunicación que se adecuan a partir de la necesidad de cada empresa, pero en los que se pueden identificar elementos comunes e infaltables; cuestión por la cual, se estructuró un modelo de comunicación organizacional genérico a partir de los elementos desarrollados por los autores estudiados que puede servir de base para la construcción de uno propio. Los sistemas de comunicación en la organización deben considerar que su base es la interacción humana por lo que no pueden apartar ese componente de su lógica.
Crisis de abastecimiento y su efecto en agroalimentación
Authors: Boyano-Fram Teofilo O. , Claros-Bueno Edwin J. , Machado-Licona Jhorquis
Published: December 2022

La pandemia de Covid 19 ha ocasionado estragos en gran parte del mundo en materia económica, política y social, en este artículo se pretende analizar como consecuencias de la pandemia, la crisis de abastecimiento, el efecto en la seguridad alimentaria y la incidencia de los Puertos y los aspectos que la agravan, se hizo metodológicamente mediante la revisión de la literatura existente en la materia, se hace una recopilación de más de 50 documentos, para luego seleccionar una muestra y triangular la información, se ha encontrado que los factores logísticos como la ruptura de la cadena de suministro, los efectos del Covid 19 como pandemia mundial que ha incidido en frenar la producción de la industria manufacturera y cierre de puertos que movilizan gran parte de insumos alimentarios, unido a poco efecto en materia de políticas públicas y ordenanzas mundiales que hayan pasado del discurso a la acción y frenen o mitiguen el problema de la alimentación y por ende se convierta en seguridad alimentaria.
Gestión de Adquisiciones de Materiales en el Sector Construcción (el Reto de los Gerentes de Proyectos)
Authors: Moreno-Ramírez Brenda D. C.
Published: December 2022

En la actualidad una adecuada gerencia de proyectos parte desde una es buena gestión de adquisiciones la cual es necesaria para el logro de la consecución de metas del proyecto, e incluso para el desarrollo de los procesos en las organizaciones, partiendo de una cadena de exigencias que se deben llevar a cabo para garantizar la obtención de los resultados esperados en cuanto a costo, tiempo y calidad. Objetivo: investigar a profundidad y dar a conocer el desarrollo de una buena gestión de adquisiciones específicamente aplicada en una compañía del sector de proyectos de la construcción de acuerdo a los lineamientos de distintos autores quienes aplicaron dicho concepto en diferentes sectores. Método: revisión literaria de distintos autores, guía del pmbok y revistas científicas como también la revisión bibliográfica de otros artículos, tesis, libros y trabajos de grado sobre la gestión de las adquisiciones en las organizaciones. Conclusiones: se evidencio la problemática sobre la gestión de las adquisiciones en latinoamerica afectando esta la consecución con éxito de distintos proyectos, se revisó información de diferentes autores, países y enfoques que muestran distintas herramientas y técnicas que aportan gran valor a esta temática en las empresas.
Factores Determinantes de la Gestion de Conocimiento y su incidencia en el Desempeño Organizacional en entornos BANI: Una revisión teórica
Authors: Urbano-Carazo María I.
Published: December 2022

Las organizaciones en la actualidad se enfrentan a entornos inestables y de alta incertidumbre, en ese sentido, estas deben recolectar elementos que les permitan incrementar su desempeño organizacional de tal manera que puedan afrontar dichos entornos. Es por eso que se propone analizar los factores determinantes de la gestión de conocimiento y su incidencia en el desempeño organizacional en entornos BANI. Para tales fines se propone una revisión teórica que permita dilucidar los elementos principales de estos constructos mencionando aspectos como Gestión del conocimiento, creación y transferencia de este, la ventaja competitiva de las organizaciones y sus interacciones en entornos inestables. Uno de los principales resultados apunta a considerar estos elementos como insumos a las organizaciones para contribuir en su planificación estratégica, repensar su direccionamiento estratégico, sus estrategias y el abordar del talento humano y el conocimiento como principal activo intangible y principal fortaleza organizacional.
La Gestión del Conocimiento una Herramienta para el Cambio Cultural de las Organizaciones
Authors: Pájaro-Rocha Jair
Published: December 2022

El conocimiento juega un papel fundamental para las empresas, especialmente, aquellas que basan su valor agregado en la innovación y sobre todo si está enfocado en la cultura organizacional, es por eso que en este artículo se aborda una revisión de la bibliografía, cuyo objetivo es plantear la discusión de como la gestión del conocimiento puede ser usada como herramienta de cambio y desarrollo en las organizaciones. en un contexto donde la constante son los cambios de forma continuada y de manera ágil. como metodología se desarrolló una revisión de la teoría para establecer a partir de allí conceptos guía donde se desarrolla luego una reflexión sobre como la gestión del conocimiento puede ser utilizada para inducir el cambio de la cultura de las organizaciones.
Gestión de procesos: ejercicio práctico de Empresas de Acueducto y Alcantarillado
Authors: Mendoza-Betin Javier A.
Published: December 2022

Este trabajo teórico práctico es un anticipo de la implementación y despliegue de la gestión por y de procesos en Empresas de Acueducto y Alcantarillado. Pretende explicar lo alcanzado en cuanto a la adopción de un modelo y método de procesos, al igual que el diseño de procesos siguiendo lineamientos de ISO 9001, bajo el acompañamiento técnico de un contratista operador internacional, también expone una revisión teórica de los constructos. Finalmente, se concluye que analizar la experiencia empresarial es prioritario, novedoso y pertinente.
Manual de Bienvenida: Estrategia para Promover la Gestión de la Felicidad en la Empresa CORPOSUCRE de Sincelejo – Sucre. Colombia
Authors: Murillo-Montes Zaida M.
Published: December 2022

El presente artículo surge de la indagación titulada, la gestión de la felicidad al interior de la empresa CORPOSUCRE, realizada en la ciudad de Sincelejo, Sucre. Colombia, con el objetivo de ofrecer un ambiente propicio para la inclusión laboral y promover en los empleados el gusto por la responsabilidad en las funciones asumidas. En la estrategia se diseñó un Manual de Bienvenida, para facilitar la organización, adaptación al cambio, productividad, el desempeño de roles e interacción con los nuevos trabajadores. La investigación se orientó en el enfoque cualitativo, con método de interpretación hermenéutico. Se utilizó en la recolección de información la técnica de la revisión documental y como instrumento la agenda. En la planeación institucional de CORPOSUCRE, se identificaron fortalezas en la inclusión de objetivos y metas a corto y largo plazo, el trabajo en equipo, la responsabilidad personal y colectiva, disciplina de confianza que contribuye al bienestar, buena atención al cliente y la aplicación de algunos mecanismos de comunicación de manejo individual y colectivo, entre las debilidades se nota la ausencia de un instrumento físico al alcance de los empleados para despejar dudas en situación de incertidumbre.