Multiple Methods Research Articles

Novel Framework for an Intrusion Detection System Using Multiple Feature Selection Methods Based on Deep Learning

Novel Framework for an Intrusion Detection System Using Multiple Feature Selection Methods Based on Deep Learning

Security-based low-density parity check encoder for 5G communication

The fifth generation (5G) of mobile telecommunication standards is intended to offer better performance and efficiency. One of the most significant difficulties in delivering safe data transfer through the transmission channel in the emerging 5G technology is channel-coding security. This research primarily focused on offering information transmission that is secure in the place of novel assaults such as side-channel attacks. In this research, we present a low-density parity check (LDPC) encoder that is constructed using the multiplicative masking method to overcome side-channel attacks, one of the most significant security concerns for the upcoming 5G system. As a result, it offers greater security, reduced complexity, and higher performance. Power, area, and delay can all be calculated using LDPC codes. Comparing multiplicative masking implemented LDPC encoders to ordinary channel coding techniques in terms of security seen that multiplicative masking implemented LDPC encoders offer more security. The program Xilinx ISE 14.7 can synthesize the analysis. The advantage of multiplicative masking is that it offers a promising level of security through the principle of randomization, which is the foundation of the procedure. According to the analysis, the secured transmission of the data by the proposed multiplicative masking implemented LDPC encoder is increased.

Improved protocols for secure multiplication using secret sharing scheme

Herein, we present a secure multiplication method that uses secret sharing to solve the security problem presented by Watanabe et al. We implement the characteristics of the exponent operation, where the product of two numbers with the same base (in this case, the primitive element ) involves only the addition of their exponents. In contrast to typical secret sharing schemes, our proposed model requires two shares to be sent to each server simultaneously to achieve multiplication without increasing the number of servers required, thus resulting in a lower cost of establishing a physical server. In addition, we use Shannon’s entropy function to describe the security of the proposed method. Finally, we evaluate our proposed method in terms of computational and communication costs.

Estimation of withdrawal interval recommendations following administration of fenbendazole medicated feed to ring-necked pheasants (Phasianus colchicus)

IntroductionPrescribing fenbendazole medicated feed for pheasants in the USA is considered extra-label drug use under CPG Sec 615.115, and a safe estimated withdrawal interval (WDI) must be applied following administration to this minor food-producing species. This study sought to determine the pharmacokinetic and residue depletion profile for fenbendazole and its major metabolites to estimate a WDI for pheasants following fenbendazole administration as an oral medicated feed.MethodPheasants (n = 32) were administered fenbendazole as an oral medicated feed (100 ppm) for 7 days. Fenbendazole, fenbendazole sulfoxide, and fenbendazole sulfone (FBZ-SO2) in liver and muscle samples were analyzed using HPLC-UV. Tissue WDIs were estimated using FDA, European Medicines Agency (EMA), and half-life multiplication methods for US poultry tolerances, EMA maximum residue limits, and the analytical limit of detection (LOD; 0.004 ppm). Terminal tissue elimination half-lives (T1/2) were estimated by non-compartmental analysis using a naïve pooled data approach.ResultsThe tissue T1/2 was 14.4 h for liver, 13.2 h for thigh muscle, and 14.1 h for pectoral muscle. The maximum estimated withdrawal interval was 153 h (7 days) for FBZ-SO2 in pectoral muscle using the FDA tolerance method (95% confidence interval for the 99th percentile of the population), and the LOD as the residue limit.DiscussionThe results from this study support the use of FBZ-SO2 as the marker residue in the liver of pheasants and the provision of evidence based WDIs following the extra-label administration of fenbendazole medicated feed (100 ppm) for 7 days.

Convolutional Neural Network and Bidirectional Long Short-Term Memory (CNN-BiLSTM)-Attention-Based Prediction of the Amount of Silica Powder Moving in and out of a Warehouse

Raw material inventory control is indispensable for ensuring the cost reduction and efficiency of enterprises. Silica powder is an essential raw material for new energy enterprises. The inventory control of silicon powder is of great concern to enterprises, but due to the complexity of the market environment and the inadequacy of information technology, inventory control of silica powder has been ineffective. One of the most significant reasons for this is that existing methods encounter difficulty in effectively extracting the local and long-term characteristics of the data, which leads to significant errors in forecasting and poor accuracy. This study focuses on improving the accuracy of corporate inventory forecasting. We propose an improved CNN-BiLSTM-attention prediction model that uses convolutional neural networks (CNNs) to extract the local features from a dataset. The attention mechanism (attention) uses the point multiplication method to weigh the acquired features and the bidirectional long short-term memory (BiLSTM) network to acquire the long-term features of the dataset. The final output of the model is the predicted value of silica powder and the evaluation metrics. The proposed model is compared with five other models: CNN, LSTM, CNN-LSTM, CNN-BiLSTM, and CNN-LSTM-attention. The experiments show that the improved CNN-BiLSTM-attention prediction model can predict inbound and outbound silica powder very well. The accuracy of the prediction of the inbound test set is higher than that of the other five models by 7.429%, 11.813%, 15.365%, 10.331%, and 5.821%, respectively. The accuracy of the outbound storage prediction is higher than that of the other five models by 14.535%, 15.135%, 1.603%, 7.584%, and 18.784%, respectively.

A quick probability-oriented introduction to operator splitting methods

The survey is devoted to operator splitting methods in the abstract formulation and their applications in probability. While the survey is focused on multiplicative methods, the BCH formula is used to discuss exponential splitting methods and a short informal introduction to additive splitting is presented. We introduce frameworks and available deterministic and probabilistic results and concentrate on constructing a wide picture of the field of operator splitting methods, providing a rigorous description in the setting of abstract Cauchy problems and an informal discussion for further and parallel advances. Some limitations and common difficulties are listed, as well as examples of works that provide solutions or hints. No new results are provided. The bibliography contains illustrative deterministic examples and a selection of probability-related works.

Physical start-up of the Nuclear Subcritical Facility “Neutron Source” of NSC KIPT

National Science Center “Kharkov Institute of Physics and Technology” jointly with the Argonne National Laboratory developed, designed and constructed the Subcritical Nuclear Facility “Neutron source based on the subcritical assembly driven by electron linear accelerator”. The article presents the main results obtained during the physical start-up of the plant, the program of which involved the staged loading of fuel assemblies into the core with subsequent measurements of its neutron-physical characteristics. In total, 37 fuel assemblies of WWR-M2 type were loaded into the facility core. The values o f the effective neutron multiplication factor keff and reactivity ρ of the subcritical assembly were measured after each loading step using the multiplication and area ratio methods. In addition, the neutron flux to electron current ratio method was tested for on-line reactivity monitoring. The investigations were performed when the accelerator was operated with 100 MeV electron beam energy, 2.7 μs electron pulse duration, 20 Hz pulse repetition rate and ≤ 40 mA beam pulse current. The obtained results were analyzed in terms of ensuring the facility nuclear safety at the next stage of its commissioning which is the pilot operation.

DETERMINATION AND APPLICATION OF FORECASTING METHOD FOR MEDICINE CONSUMPTION IN HEALTHCARE ORGANIZATION

The aim of this research is to estimate the consumption of a selected medicine in a public hospital for the next 1-year period by choosing the most appropriate fore casting method. Kaptoril 5-mg tablets from January 2018 to December 2022 were examined. In this research, time series methods were applied to the existing data using the Minitab 18 program. Moving average, exponentials moothing, and Holt-Winters fore casting methods were used in this study. Error measures such as mean absolute error, mean absolute percent age error, and mean squared error were used to compare the methods. For Kaptoril 5 mg, the most appropriatedem and fore casting method according to error measures is the Multiplicative Holt-Winters Method. According to this method, the mean absolute percent age error is 37.23. According to the multiplic ative Holt-Winters model, the total medicine consumption in 2023 was found to be 145 tablets. This research shows that time series fore casting methods can be applied to help reliable decision making in stock management of medicines by making a sample application on a selected medicine in a public hospital.

Curcumin-Enclosed Nanoparticles for Cancer Therapy

Abstract: Cancer is the greatest cause of mortality worldwide, and it is distinguished by the unrestrained proliferation of a group of aberrant cells, the random division of cells, and the invasiveness of genetically organized cells. At present, there are various strategies for curing of cancer-based on the type & severity. In the earlier two decades, curcumin has received huge attention in pharmacological, biological, and nutraceutical research. In addition to triggering apoptosis in cancer cells, curcumin also inhibits cancer cell invasion and proliferation by stifling cellular signaling pathways. The lower water solubility of curcumin decreases the oral bioavailability, absorption into the systemic circulation, and chemical stability and finally bound the activity of curcumin as an anticancer agent. The pharmacology of curcumin, as well as its derivatives with relation to its anticancer potential, primary modes of action, & cellular target, has been summarised in this article along with a list of the numerous curcumin enclosing nanoformulations. Multiple methods of administration have been developed for curcumin to boost its specificity. Encapsulation and other formulation processing techniques have been found to enhance both the solubility and bioavailability of curcumin. The nanoparticles' size, shape, surface characteristics, and targeting ligand are all factors that nanoformulation designers must think about when working to increase the efficacy and cellular targeting of anticancer treatments.

EXPERT ASSESSMENTS IN DECISION-MAKING PROBLEMS: THE METHOD OF MULTIPLICATIVE FUNCTIONS

Expert judgments and fuzzy set theory are two different concepts of systems analysis, but their combination improves the mathematical tool of multi-criteria analysis of decision-making problems. The method of expert evaluations belongs to the class of partially formalized methods based on the use of intuition and experience of decision-makers. The multi-criteria nature of the decision-making problem is manifested in the search for an alternative that simultaneously satisfies the constraint and optimizes the vector quantity, the elements of which correspond to the objective functions of the problem. The choice of the optimal alternative, in most cases, is also ambiguous and is based on subjective, undefined information about the object of decision-making, or selection criteria that do not have quantitative assessments. In this case, it can be said that the decision-making process is fuzzy. Multiplicative Function Method is one of the approaches to modeling fuzzy systems, problems related to fuzzy inference, or fuzzy model description. The purpose of the work is to study the possibility of combining the theory of fuzzy sets with a deterministic algorithm for a multi-criteria decision-making problem.

Fruit Anthracnose on Cavendish bananas Caused by Colletotrichum fructicola in Guangxi, China.

Cavendish banana (Musa spp. AAA group) is one of the main fruit crops worldwide. It is widely planted in Guangdong, Hainan, Guangxi, Fujian and Yunnan provinces in southern China. In November 2020, banana fruits with anthracnose symptoms were collected from Dayu Town (N 23.17°, E 109.80°), Guigang City, and Chengjun Town (N 22.60°, E 110.00°), Yulin City, Guangxi Province, China, where the disease was found on about 70% of the banana plants, and on individual fruit, up to 10% of the surface was covered with symptoms. The symptoms initially began with rust-colored spots on the surface of the immature fruit, which gradually became sunken and cracked as the disease progressed. Small tissues (5×5 mm) from the pericarp at the junction of disease and health were surface-disinfected in 75% ethanol for 10 s, 2% sodium hypochlorite (NaClO) for 1 min, and washed three times in sterile water. Tissue pieces were placed on potato dextrose ager (PDA) and incubated at 25°C. Fifty-nine morphologically similar colonies were obtained after 5 days of incubation, with 100% isolation frequency. Of 59 isolates, GG1-3 isolated from Guigang City and YL4-2 isolated from Yulin City were selected as representative strains for intensive study. Mycelia were off-white for both isolates and conidia obtained from PDA were cylindrical, unicellular, hyaline and obtuse ends, with sizes of 11.5 ± 1.8×3.9 ± 0.8 µm (n=60) and 11.5 ± 1.6×4.1 ± 0.6 µm (n=60) for GG1-3 and YL4-2, respectively (Prihastuti et al. 2009). Genomic DNA was extracted from 7-day-old aerial mycelia using a DNAsecure Plant Kit (Tiangen Biotech, China). The internal transcribed spacer (ITS), the intergenic region of apn2 and MAT1-2-1 (ApMAT) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) were amplified and sequenced (White et al. 1990; Silva et al.2012; Templeton et al. 1992). Sequences were deposited in GenBank (ITS, OR596961 to OR596962; GAPDH, OR661771 to OR661772; APMAT, OR661773 to OR661774) and showed 100% identities with the corresponding type strains sequences of C. fructicola. Phylogenetic tree was constructed with software raxmlGUI v.2.0.0 based on sequences of multiple loci (ITS, GAPDH and ApMAT) and Maximum Likelihood method. Phylogenetic analysis revealed that the two isolates and C. fructicola were clustered in the same clade, with 94% bootstrap support. According to morphology and phylogenetic analysis, the two isolates GG1-3 and YL4-2 were identified as C. fructicola. For pathogenicity tests, healthy fruits were surface sterilized with 75% ethanol followed by a wash with sterilized water. Five adjacent needle punctures in a 5-mm-diameter circle were made with a sterilized needle on healthy fruits, followed by inoculation with 20 μL of conidial suspension (106 spores/ml), and sterilized water was used as controls. All banana fruit were incubated in a humid chamber at 28°C. After 4 days, all inoculated fruits showed visible symptoms and had rust-colored spots on the margins, while control banana fruits remained symptomless. The fungus was isolated from the inoculated fruit and the isolates were found to match the morphological and molecular characteristics of the original isolates, confirming Koch's hypothesis. To our knowledge, this is the first report of fruit anthracnose on Cavendish bananas caused by C. fructicola in China. This study will provide valuable information for prevention and management of anthracnose on banana fruit.

A Comprehensive Study on the Micropropagation of Costus igneus: Media Composition, Growth, and Development

Costus igneus, commonly known as insulin plant, is an ornamental plant valued for its spiral ginger- like foliage and medicinal properties. Micropropagation is an efficient method for rapid multiplication of Costus igneus. This study aims to determine the optimal media composition and culture conditions for in vitro propagation of C. igneus. Axillary bud explants were cultured on Murashige and Skoog (MS) medium supplemented with different concentrations and combinations of plant growth regulators including auxins (indole-3-acetic acid, indole-3-butyric acid and naphthaleneacetic acid) and cytokinins (6- benzylaminopurine and kinetin). Microshoots cultured on MS + 1.5 mg/L BAP showed the highest shoot proliferation rate (98%) and maximum number of shoots per explant (12.6). Elongated microshoots were rooted on half-strength MS medium supplemented with different auxins. The highest rooting percentage (95%) and maximum number of roots per shoot (9.8) were observed on medium containing 2.5 mg/L IBA. The regenerated plantlets were acclimatized and successfully transferred to pots with 80% survival rate. Morphological and phytochemical analysis showed no significant differences between the in vitro propagated and mother plants. This study demonstrates the potential of micropropagation for large scale production of quality planting material of C. igneus. Further studies on genetic and epigenetic stability are recommended to validate this protocol for commercial applications.

Obesity-Related Traits Mediate the Effects of Educational Attainment on the Risk of Varicose Veins, Venous Thromboembolism, and Phlebitis.

The extent to which educational attainment (EA) influences the risk of varicose veins (VVs), venous thromboembolism (VTE), and phlebitis occurrence, whether this pathway is mediated by obesity-related traits, and the proportion of their mediation is unknown. A Mendelian randomization (MR) design was used to genetically investigate the causal effects of EA on the risk of VV, VTE, and phlebitis and to assess the mediating effect of obesity-related traits. Causal effects were estimated using primarily the multiplicative random-effects inverse variance-weighted method. This was supplemented by Cochran's Q-statistic, MR-Egger regression, MR funnel plots, and leave-one-out test to evaluate the reliability of the results. For the individual mediation effect, the coefficient product method was mainly utilized to estimate. An increase in genetically predicted EA was associated with a lower risk of VV, VTE, and phlebitis, as well as lower body mass index, basal metabolic rate, hip circumference, and waist circumference. As genetically predicted body mass index, basal metabolic rate, hip circumference, and waist circumference increased, the risk of developing VV, VTE, and phlebitis increased, respectively. Body mass index, basal metabolic rate, hip circumference, and waist circumference were identified as mediators of the protective effects of EA on VV, VTE, and phlebitis. The findings support a causal relationship between higher EA and lower risk of VV, VTE, and phlebitis. Obesity-related traits play a significant mediating role in these pathways, and there are interactions between them, with hip circumference mediating these pathways relatively independently from the other three.

Optical frequency multiplication using residual network with random forest regression

In this work, we present a method for optical frequency multiplication utilizing a hybrid deep learning approach that integrates the Residual Network (ResNet) with the Random Forest Regression (RFR) algorithm. Three different frequency multiplication modulation schemes are adopted to illustrate the method, which can obtain suitable parameters for these schemes. Based on the parameters predicted by the algorithm, the 8-tupling, 12-tupling, and 16-tupling mm-wave signals are generated by numerical simulation. The simulation results show that for 8-tupling frequency multiplication, an OSSR (optical sideband suppression ratio) is 30.73 dB and an RFSSR (radio frequency spurious suppression ratio) of 80 GHz is 42.29 dB. For 12-tupling frequency multiplication, the OSSR is 30.09 dB, and the RFSSR of the 120 GHz mm wave is 36.21 dB. For generating 16-tupling frequency mm-wave, an OSSR of 29.86 dB and an RFSSR of 34.52 dB are obtained. In addition, the impact of amplitude fluctuation and bias voltage drift on the quality of mm-wave signals is also studied.

Obstructive Sleep Apnea Syndrome and Obesity Indicators, Circulating Blood Lipid Levels, and Adipokines Levels: A Bidirectional Two-Sample Mendelian Randomization Study.

This investigation sought to elucidate the genetic underpinnings that connect obesity indicators, circulating blood lipid levels, adipokines levels and obstructive sleep apnea syndrome (OSAS), employing a bidirectional two-sample Mendelian randomization (MR) analysis that utilizes data derived from extensive genome-wide association studies (GWAS). We harnessed genetic datasets of OSAS available from the FinnGen consortium and summary data of four obesity indices (including neck circumference), seven blood lipid (including triglycerides) and eleven adipokines (including leptin) from the IEU OpenGWAS database. We primarily utilized inverse variance weighted (IVW), weighted median, and MR-Egger methods, alongside MR-PRESSO and Cochran's Q tests, to validate and assess the diversity and heterogeneity of our findings. After applying the Bonferroni correction, we identified significant correlations between OSAS and increased neck circumference (Odds Ratio [OR]: 3.472, 95% Confidence Interval [CI]: 1.954-6.169, P= 2.201E-05) and decreased high-density lipoprotein (HDL) cholesterol levels (OR: 0.904, 95% CI: 0.858-0.952, P= 1.251E-04). Concurrently, OSAS was linked to lower leptin levels (OR: 1.355, 95% CI: 1.069-1.718, P= 0.012) and leptin receptor levels (OR: 0.722, 95% CI: 0.530-0.996, P= 0.047). Sensitivity analyses revealed heterogeneity in HDL cholesterol and leptin indicators, but further multiplicative random effects IVW method analysis confirmed these correlations as significant (P< 0.05) without notable heterogeneity or horizontal pleiotropy in other instrumental variables. This investigation compellingly supports the hypothesis that OSAS could be a genetic predisposition for elevated neck circumference, dyslipidemia, and adipokine imbalance. These findings unveil potential genetic interactions between OSAS and metabolic syndrome, providing new pathways for research in this domain. Future investigations should aim to delineate the specific biological pathways by which OSAS impacts metabolic syndrome. Understanding these mechanisms is critical for developing targeted prevention and therapeutic strategies.

Uji Sifat Campuran Bahan Aktif Atrazin, Nikosulfuron, Mesotrion pada Beberapa Jenis Gulma

The aim of this research was to know effectiveness and characteristic of mixing herbicide active ingredients atrazine, mesotrion, and nikosulfuron on several weed specieses. The trial conducted in the green house at South Lampung from December 2021 until February 2022. This Research arranged in a Randomized Completely Design. Treatment consists of four types of herbicides with six level of dosage active ingredient, namely of single herbicides is atrazin 200 g/l (0, 25, 50, 100, 200, and 400 g ha-1), nikosulfuron 20 g/l (0, 2.5, 5.0, 10, 20, and 40 g ha-1), mesotrion 40 g/l (0, 5, 10, 20, 40 and 80 g ha-1), and herbicides combination of atrazine, nikosulfuron, and mesotrion 200/20/40 OD (0, 32.5, 65, 130, 260, and 520 g ha-1). The target weed were 3 type of broadleaves weeds (Ageratum conyzoides, Euphorbia hirta, and Richardia brasiliensis), 3 type of grasses weeds (Digitaria ciliaris, Eleusine indica, and Rottboellia cochinchinensis), and sedges weed (Cyperus rotundus). Multiplicative Survival Model method used in this research because atrazin, nikosulfuron, and mesotrion have different mode of action. Results showed that an active ingredient mixture of atrazin 200 g/l, nikosulfuron 20 g/l, and mesotrion 40 g/l has LD50 expectation value of 155.96 g ha-1 and LD50 treatment of 74.27 g ha-1 with the co-toxicity value was 2.10 (co-toxicity &gt;1), it means that the characteristic oh the herbiscides mixture is synergist or not antagonist. Keywords: herbicide mixture, atrazine, mesotrion, nikosulfuron, LD50, Multiplicative Survival Model

YIELD STABILITY OF PURPLE CORN HYBRIDS (Zea mays L.) IN SOUTHERN SONORA, MEXICO

Corn (Zea mays L.) production in Mexico is in deficit despite generating 27 million Mg. In southern Sonora, the planted area has grown significantly over the last four years, from 544 to 680 thousand Mg produced in 2018 and 2021, respectively. Ninety-seven percent of the production corresponds to improved white-colored maize from transnational companies; however, there are no commercial plantings of colored maize. The objective of this research was to estimate grain yield and its agronomic components in improved purple corn hybrids in southern Sonora, Mexico, over three years using the additive main effects and multiplicative interaction method (AMMI). A randomized, complete-block experimental design with three replications was used. The plots were two 4 m long furrows with a stocking density of 100 000 plants ha-1. The variables recorded were: grain yield (RG), thousand-kernel weight (PMG), ear length (LM), grains per row (GH), rows per ear (HM), and hectoliter weight (PH). The results showed statistical differences among years, hybrids, and their interaction (AxH) in all variables. The AMMI model was highly effective, allowing the identification of hybrids 1, 2, 7, and 10 with greater stability in the year 2021 associated with RG, PH, and LM, obtaining outstanding averages in all variables and being more appropriate for the climatic conditions of southern Sonora. On the contrary, the most sensitive hybrid with the highest interaction was 4, associated with GH and HM; hybrids 3, 5, 6, 8, 9, 11, and 12 were stable with negative values in 2019 and 2020.

A driving method for gray scale multiplication of electrowetting display based on hybrid modulation

In order to solve the problem of low gray level due to the few driving chips developed based on the photoelectric characteristics of electrowetting display, a driving method based on modulation is proposed to double the gray level of electrowetting display. In this method, the driving waveform based on pulse amplitude modulation and pulse width modulation hybrid modulation is designed, and the gray level–luminance curve of the electrowetting display is measured and analyzed. On this basis, the luminance nonlinear correction is carried out, and the improvement of 64 Gy levels to 127 Gy levels is realized by the principle of human visual persistence phenomenon. The experimental results show that the proposed driving scheme can break through the limitation of the driving chip and realize the multiplication of gray levels, in which 96% gray levels increase steadily with an average luminance difference of 0.07, and at the same time enhance the contrast and improve the display effect.

A Flexible Hardware Accelerator for Booth Polynomial Multiplier

This article presents a parameterized/flexible hardware accelerator design tailored for the Booth polynomial multiplication method. The flexibility is achieved by allowing users to compute multiplication operations across various operand lengths, reaching up to 212 or 4096 bits. Our optimization strategy involves resource reuse, effectively minimizing the overall area cost of the Booth accelerator design. A comprehensive evaluation compares the proposed multiplier design with several non-digitized bit-serial polynomial multiplication accelerators. Implementation is realized in Verilog HDL using the Vivado IDE tool, featuring diverse operand sizes, and post-place and route assessments are performed on the Xilinx Virtex-7 field-programmable gate array device. For the largest considered operand size of 1024 × 1024, our Booth accelerator utilizes 1434 slices and can operate on a maximum frequency of 523.56 MHz. A single polynomial multiplication operation requires 0.977 μs and the total power consumption is 927 mW. Moreover, a comparison to state-of-the-art accelerators reveals that the proposed flexible accelerator is 1.34× faster in computation time and 1.05× more area-efficient than the recent dedicated polynomial multiplication design. Therefore, the implementation results and comparison to the state of the art show that the proposed accelerator is suitable for a wide range of cryptographic applications.

Morphobiometric Characterisation of Carob Tree Pods Cultivated in Algeria and Evaluation of Physicochemical, Nutritional, and Sensory Properties of Their Powders

Abstract Given its very important economic and environmental interests, the cultivation of carob tree in Algeria has experienced remarkable development, which is reflected in the methods of plant multiplication, the increase in the surface area of its cultivation, and in particular, the growing number of carob fruit processing industries (first and second transformation). In this context, the present study focused on the evaluation of the food quality of whole pod powders and carob pulps from three different regions of Algeria (Boumerdes, Relizane, and Tissemsilt). The experimental part presents a morphobiometric characterisation of carob pods carried out during the 2020–2021 production campaign — length, width, mass, volume, thickness, size index (length/width), the number and mass of seeds, analysis of the food quality of carob powders from whole pods and their pulps and determining their physicochemical properties (particle size, pH and dry matter), nutritional properties (ash, crude proteins, total sugars, crude fibres, fats) and sensory (colour, taste, texture, and smell). The results showed that the morphobiometric characteristics of the carob pods studied (physicochemical, nutritional, and sensory properties of the powders) strongly depend on the biogeographical site of the carob tree and the conditions of its production. Compared to the other carob fruit powders analysed, Relizane carob pulps powder showed a better sensory appreciation; this powder was characterised by a colour (100% light brown), taste (50% sweet, 50% very sweet), texture (100% fine), and odour (100% carob with strong intensity). Indeed, the study of the food quality of the two types of powders obtained separately from whole pods (seeds and pulps) and from the pulps is very valuable and opens possible ways of food valorisation of carob tree fruit.