Semi empirical modelling for thin sliced potato drying under active-mode indirect solar dryer

This paper aims to select the best semi-empirical model for thinly sliced potato drying under active mode indirect solar dryer with variations of the exhaust air velocities. The exhaust air velocities to remove the vaporized moisture inside the drying chamber were set at 0.2m/s, 0.4m/s, 0.6m/s, and 0.8m/s. The solar intensity, temperature and relative humidity were measured. The Sigmaplot software was used to select the best thin layer drying model for sliced potatoes drying under indirect solar dryer assisted with a solar accumulator and exhaust fan. From the result, drying at 0.2m/s shows a significant drying performance with reduced mass percentages at 69%. The lowest the exhaust air velocity, the better reduction of the mass percentages and the higher the evaporation rate. Consequently, a Rational four (4) parameter was selected as the best of all the drying models, according to r2 , RSME, and x 2 . This study gives a useful understanding of the significant effect of the variations of the exhaust air velocities on the drying performance

FIQH AL-WAQI’: TERAS REVOLUSI KETERANGAN FORENSIK DIGITAL DALAM MEMBENDUNG JENAYAH SYARIAH SIBER

Fiqh al-Waqi’ adalah cabang penting dalam perundangan Islam yang menekankan keupayaan serta kebolehsuaian hukum syarak bagi menyesuaikan diri dengan cabaran semasa. Kajian ini bertujuan untuk menganalisis penerapan fiqh al-waqi’ dalam konteks kemampuan dan revolusi pembuktian jenayah syariah siber, khususnya melalui integrasi teknologi moden. Pendekatan ini bertujuan memastikan revolusi pembuktian kesalahan jenayah adalah relevan dan selaras dengan prinsip syarak. Kajian ini menggunakan metodologi kualitatif melalui pendekatan dokumentari bagi metode pengumpulan data dan analisis kandungan bagi metode analisis data. Hasil kajian menunjukkan bahawa forensik digital berperanan penting dalam mengumpul, menganalisis, dan mengesahkan bukti elektronik secara saintifik dan sistematik melalui peralatan yang diiktiraf dunia. Teknologi ini memperkukuh ketepatan dan kebolehpercayaan bukti, sekali gus mengatasi kelemahan kaedah pembuktian tradisional dalam menghadapi jenayah siber. Dalam kerangka Syariah, tiga qawa’iid al-fiqhiyyah utama dikenalpasti sebagai asas dalam mengintegrasikan teknologi ini, iaitu La Yunkar Taghayyur al-Ahkam bi Taghayyur al-Azman wa al-Ahwal (hukum berubah mengikut zaman dan keadaan), Al-Dhararu Yuzal (kemudaratan mesti dihapuskan), dan Tasarruf al-Imam ‘ala al-Ra’iyyah Manutun bi al-Maslahah (tindakan pemimpin bergantung kepada maslahah). Akhir sekali, penulis mencadangkan agar penyelidikan masa depan memberi fokus kepada kajian keserasian pembuktian melalui teknologi baharu dengan standard Syariah. Langkah ini penting untuk menangani cabaran penyesuaian perundangan moden secara menyeluruh, sekali gus memperkukuhkan dinamisme prinsip-prinsip Islam dalam menghadapi perubahan realiti semasa

Assessment of Cihampelas River Water Quality Status using STORET Method and Pollution Index

The Cihampelas River is one of river that crosses the Regency and City of Bandung, West Java, with a length of 8.5 km. This study aims to assess the water quality status of Cihampelas River based on the STORET method and Pollution Index. The research was conducted at four stations based on the level of anthropogenic activity from July to September 2016. Measurements of the physical and chemical parameters of the waters were carried out five times at two-week intervals. Water quality status was assessed using the STORET method and Pollution Index based on the parameters TDS, TSS, pH, DO, BOD, COD, nitrate, nitrite, ammonia, and total phosphorus (TP). Using the STORET method, shows a score of -20 to -46 in the category of moderately to severely polluted waters. Based on the Pollution Index method, the waters of the Cihampelas River show lightly to severely polluted conditions with a score of 1.14 to 44.66. The water quality status of the Cihampelas River shows a decreasing trend from the upstream to the downstream

Perception regarding needle stick and sharp injuries among clinical year medical students

Introduction: Medical students are exposed to needle stick and sharp injuries (NSSIs) in their everyday routine whether in handling sharp medical instruments or contacting with patients. Thus, it is important to assess the perception of medical students regarding needle stick and sharp injuries, as it is an important feedback to medical school on the effectiveness of their teaching in reducing NSSIs. Objective: To determine the level of perception regarding NSSIs among clinical year’s medical students in a public university, and its association with the knowledge an attitude towards NSSIs. Materials and Methods: A cross sectional study was conducted among 320 clinical year’s medical students from a local public university in Malaysia. The respondents were selected according to the year of study by using stratified random sampling. The study was conducted in May and June 2011 for a period of two months. Self-administrated questionnaires were used in the study. The questionnaires were developed by researchers, and were pre-tested among nursing students in one of the local hospital. Results: Response rate was 93.8%, in which 300 out of 320 respondents were participating in the study. The result showed that 51% of respondents attained good level of perception regarding NSSIs. Meanwhile 53.3% achieved good level of attitude and 55.3% of the respondents attained good knowledge level towards NSSIs. The 5th year medical students got the highest level of perception (21%) on NSSIs as compared to 4th year (10%) and 3rd year (19.6%).There is significant association between level of perception and year of study (P= 0.002) as well as between level of perception and level of knowledge (P = 0.001) and attitude (P ˂ 0.001). Conclusion: Overall there were high proportion of clinical year medical students are having inappropriate perception, unsatisfactory knowledge and inappropriate attitude toward NSSIs. Knowledge and attitude regarding NSSIs showed significant association with perception toward NSSIs

Smart automatic cat feeder / Muhammad Aiman Ibrahim ...[et al.]

Our product, a smart automatic cat feeder helps to ensure that all the cats were given enough food and water. This machine mechanism is designed to automatically serves food and water to the cats when it is the time without having the user to push any button on it. After going through response from the survey, we have found that our customers getting tired of feeding their cats manually. They also too busy to feed their cats and sometimes they have to leave their cats for several days to go on holiday. Therefore, we make this machine to help our customers by making timer to this machine. Also, we add a signal indicator for food container and water container so that the owners don’t need to check regularly the quantity of water and food left in the container. We also make it portable by using wheel with brake to this machine. Our product is built so that our customers don’t have to worry anymore about their cats getting enough food and water and doesn’t need to feed them manually because this machine operates automaticall

Identifying PTSD symptoms using machine learning techniques on social media

Post-traumatic stress disorder (PTSD) is a mental health illness brought on by watching or experiencing a horrific incident. Flashbacks, nightmares, acute anxiety, and uncontrolled thoughts about the unforgettable incident are the possible symptoms faced by PTSD sufferers. The PTSD diagnosis is usually done by a mental health specialist based on the symptoms that the person has, and the task is very time-consuming. Due to the widespread use of social media in recent years, it has opened up the opportunity to explore PTSD signs in users' postings on Twitter. The content-sharing feature available on this platform has allowed its users to share personal experiences, thoughts, and feelings that could reflect their psychological status. Thus, the goal of this work is to identify the PTSD symptom from text posting on Twitter. The crawled text posting is filtered and trained on selected machine learning and deep learning methods. The experiment results show that the support vector machine performed the best with 91% accuracy compared to others. This extracted model could be used in identifying PTSD symptoms on social media

Habitat quality assessment in the Royal Belum rainforest, Malaysia using spatial analysis

Royal Belum rainforest contains various flora and fauna species, however, the assessment of habitat quality is still lacking. This study aims to develop the habitat quality zone in the Royal Belum rainforest. The downloaded Landsat 8 OLI/TIRS CI satellite images in the year 2020 from the United States Geological Survey (USGS) were processed using supervised classification and exported into vector data in ArcGis 10.8. Land use, normalized difference vegetation index (NDVI), buffer, and land structure were then analyzed. The result shows that the highest percentage and density of the land use of the Royal Belum rainforest is vegetation. Buffer zone analysis identifies the risky area for habitat in the range of 1km and 5km from the built-up area. The area within the buffer ring should be protected from building and construction to ensure habitat quality in that area can be maintained. This study will give a better understanding of land use and vegetation index assessment for future planning in the Royal Belum rainforest. Therefore, habitat quality assessment is an important tool that can help to identify areas of high-quality habitat that are crucial for the survival and reproduction of target species and to prioritize these areas for conservation and management

BIODIVERSITAS MAKROZOOBENTOS DI PERAIRAN SITU BEKANG, KABUPATEN BOGOR, JAWA BARAT

Perairan Situ Bekang merupakan salah satu situ diantara 17 situ yang berada di Kecamatan Cibinong, Kabupaten Bogor, Jawa Barat. Perairan situ berperan sebagai habitat bagi berbagai biota akuatik seperti makrozoobentos. Penelitian ini bertujuan untuk mengetahui komunitas makrozoobentos di perairan Situ Bekang. Sampel makrozoobentos diambil menggunakan Ekman grab pada bulan September 2019 di tiga lokasi pengamatan. Selain itu, dilakukan pula pengukuran paramater lingkungan perairan. Makrozoobentos di Situ Bekang terdiri dari 10  taksa yang tergolong ke dalam lima kelas meliputi Gastropoda, Bivalvia, Clitellata, Insekta, dan Malacostraca. Komposisi tertinggi sebesar 34,84% diperoleh Melanoides tuberculata dari kelas Gastropoda sebagai spesies yang tahan terhadap pencemaran organik. Kelimpahan makrozoobentos yang diperoleh selama pengamatan mencapai 2812 individu/m2. Indeks diversitas Shanon Wiener tergolong sedang dengan kisaran 1,24-1,75. Indeks kemerataan Pielou berkisar 0,60-0,84 dengan kriteria sedang hingga tinggi, sedangkan indeks dominansi Simpson berkisar 0,20-0,37 dengan kriteria rendah

Semi empirical modelling for thin sliced potato drying under active-mode indirect solar dryer

This paper aims to select the best semi-empirical model for thinly sliced potato drying under active mode indirect solar dryer with variations of the exhaust air velocities. The exhaust air velocities to remove the vaporized moisture inside the drying chamber were set at 0.2m/s, 0.4m/s, 0.6m/s, and 0.8m/s. The solar intensity, temperature and relative humidity were measured. The Sigmaplot software was used to select the best thin layer drying model for sliced potatoes drying under indirect solar dryer assisted with a solar accumulator and exhaust fan. From the result, drying at 0.2m/s shows a significant drying performance with reduced mass percentages at 69%. The lowest the exhaust air velocity, the better reduction of the mass percentages and the higher the evaporation rate. Consequently, a Rational four (4) parameter was selected as the best of all the drying models, according to r2, RSME, and x2. This study gives a useful understanding of the significant effect of the variations of the exhaust air velocities on the drying performance

Fostering Intercultural Awareness Via Short Stories - Reconnoitering Student Perspective

Understanding people from other cultures is crucial in today's globalised society since it can help to foster peace on the planet. The need to show respect for people from different origins is more important than ever with the emergence of the borderless world brought about by the usage of the internet and various social media. Teaching pertinent intercultural subjects in ESL classes is one strategy to enhance this intercultural awareness. Literature has also generally been seen as a source of wisdom and lessons for living that might help language learners. Hence, this paper presents the results of a preliminary investigation into the opinions of university students about the use of short stories to foster multicultural awareness in ESL classes. A survey using a questionnaire was used to get the students' opinions on learning about other cultures. The results are described in order to determine how these college students feel that reading short stories can improve intercultural understanding. Finally, appropriate conclusions and recommendations are made regarding the need for additional methods of promoting multicultural awareness in ESL classrooms