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The controversy surrounding methadone maintenance was demonstrated by women in the current study. Eleven women had, at some point in their lives, sought opioid replacement therapy with methadone or buprenorphine, another partial opioid agonist more recently approved for opioid addiction treatment and known by common product names like Suboxone and Subutex (FDA, 2013). Although most women were overwhelmingly in favor of opioid replacement therapy, many of the same women were concerned about never being able to stop taking methadone.

I have been experiencing a similar issue. I have a NEC calibrated monitor which works great with my 2016 MBP. I use a USB-C to Dvi-d dongle to connect it to my new 2021 MBP. It is very finicky and often requires that I unplug and then plug it back in as many as 8 times before it connects properly. Very frustrating. Once it connects properly it continues to solidly work. But if I move my laptop I have to go through this multiple times. Keep trying until you get it. Getting a new monitor may not solve your issues. Hopefully Apple will be able to resolve this issue.

In April 2015, Adobe introduced the "Document Cloud" branding (alongside its Creative Cloud) to signify its adoption of the cloud storage and the software as a service model. Programs under this branding received a "DC" suffix. In addition, "Reader" was renamed back to "Acrobat Reader".[22][23] Following the introduction of Document Cloud, Acrobat.com was discontinued as their features were integrated into the desktop programs and mobile apps.

Wirecutter senior editor Harry Sawyers recently deployed a pair of Tomcats in a Los Angeles garage where mice had gotten into a surplus stash of dehydrated dog food. Sawyers baited the traps with a few bits of food and reports with a mix of shame and pride that he netted three mice in two nights. "I hope it's over," he said. He noted that the traps' easy one-handed operation made it possible to pick up the loaded trap, drop the catch into a plastic bag, all the while shielding his face with his free hand to avoid looking into the creature's still-open black eyes.

When marketers who are just starting their business blogs see that their blog posts aren't generating any new traffic after a few days, many of them get frustrated. They think their blog is failing, and they end up abandoning it prematurely.

After initializing its parameters, the Lorenz system is used to produce three random streams of numbers corresponding to the three parameters x, y, and z. For a maximum effectiveness of the generated streams, the system is iterated for H times to ensure true transition to the chaotic state. After these H iterations, the streams (\(X_i, Y_i, Z_i\)) are generated using formulas (2). Where floor(x) returns the closet integer to x and k represents the desired range of chaotic numbers (e.g. if the desired range is the integers 0...255, then k =256).

The S-Layer cNN subprocess consists of a network of s layers and a processing logic that uses operations on Galois field. The s layers are chained in Hill cipher manner, where the output of the layer \(L_i\) is the input for the next layer \(L_{i+1}\) (after receiving additional processing). Each layer \(L_i\) is an \(n \times n\) array whose entries are chaotic values from Galois field GF(\(2^p\)) produced as follows. Let (\(x_j, y_j, z_j\)) be triples of chaotic numbers generated by the chaotic system. We compute new chaotic values \(w_j\) = MOD (floor\(\langle\)(\(x_j+y_j +z_j\)) * \(10^{14}\) \(\rangle\), \(2^p\)) and assign them to \(L_i\). Where floor (t) returns the closest integer greater than or equal to t and MOD is modulo operation. Note because of the module by \(2^p\), \(w_j\) are values in GF(2\(^p\)).

The distortion stage uses an effective computational model whose functionality is based on physical principles inspired by the color theory. In particular, the distortion stage uses computations that are based on the color theory to generate distortion values and trigger distortion operations that consume the generated distortion values to deeply distort the input symbols. As Fig. 10 shows, the distortion stage continuously consumes two triples (x, y, z) and (u, v, w) and produces an output triple (sealing code).

The mapping distorter declares a set of distortion operations (Table 2). These operations distort the outcome of the mapping process, making this process non-linear. The distortion operations are placed in a list and reordered using a sequence of chaotic values obtained from the chaotic system. The mapping distorter chooses the operations for manipulating the input triples using three state variables f, s, and t, where these variables select distortion operations to respectively process the first, the second, the third element of the input triple. The initial values for (f, s, t) are zeros. These variables, however, are updated using the scheme (8) before using them for operation selection. (The values\(u_1\), \(u_2\), \(u_3\) are generated using the contract ratio.)

The test case consists of a large set of 128-bit keys. For better matching the possible distribution of the keys in real-world applications, we used 2500 random keys generated using the service (passwordsgenerator.net), 170 handcrafted keys, 3278 low entropy keys. The low entropy keys (3278) were generated using an input key of all zeros as follows. We created 128 keys by flipping only the \(i^{th}\) bit of the input key (i=1...128). The rest of the keys are created by flipping j bits at random positions of the input key (j=2, 3, 4, 5...64). By flipping only up to half of the key, we kept the resulting keys with low entropy.

Table 3 shows the results of the ENT random test on the sequences that were generated using 4 rounds for the diffuse stage and 4 layers of the mapping distorter. The table shows the result of five important ENT randomness tests. The entropy is close to 1 (the ideal values for bit sequence), the Chi-square values indicate that the sequences are random, the estimation for \(\pi\) is close to the actual value with a tiny error (please see24 for ENT test values interpretation). The serial correlation coefficient is sufficiently small (close to 0) and the arithmetic mean is close to the ideal value 0.5. These ENT test results indicate that the sequences generated by the sealing layer does not deviate from random.

To effectively examine the avalanche effect of the proposed technique, we used a low entropy 128-bit key of all zeros. We then constructed different perturbed keys by flipping bits at random positions of the low entropy input key. Due to the prohibitively large possibilities, the number of flipped bits is 1, 2, 3, 4, 8, 12, 16, 24, 32, 64, 96. For each number of flipped bits, we constructed 20 perturbed keys. For instance, we constructed different 20 perturbed keys, where each key is created by flipping the input key in a single random position. The sealing code layer produced, for each key, a code sequence of 1024 symbols (8192 bits). In addition, when the sealing code layer produced the code sequence, it used the effective configuration (4 rounds for the diffuse stage and 4 layer for the mapping distorter). We computed Hamming distance between the sequence generated using the input key and the sequences generated using its corresponding perturbed keys. (Hamming distance is the number of bit differences between two sequences at the corresponding positions).

The experimental analysis of the effectiveness of the proposed technique is supported also by the theoretical analysis ("Security attacks resistance" section). The high entropy and avalanche effect of the key sequence generated by the sealing layer ensure that the key is secure27. Furthermore, we showed in "Security attacks resistance" section that our technique can resist a chosen-plaintext attack. Based on28,29, if the technique can resist a chosen-plaintext attack, it can resist all other types of attacks.

The proposed technique has several merits. First, the space chaotic shift process uses three principal subprocesses. Each subprocess has a nonlinear functionality that makes drastic changes to its input. The chaotic neural network substitutes the input symbols by mixing these symbols with chaotic layers using additions and multiplication in Galois field \(GF(2^p)\). The chaotic substitution substitutes the input symbols by influencing them using data-dependent chaotically generated values. Each input symbol is influenced by handling it along with the chaotic value using an XOR operation. The chaotic mutation imposes micro changes (bit-level) changes to the symbol using chaotic operation. The collective impact of the thee subprocesses results in a large confusion to the output. Second, the encryption technique is lightweight (time-wise) and can produce maximum confusion using only four rounds. For instance, the sealing layer needed only four rounds to produce a code sequence that passed tests of entropy, avalanche, and randomness (please see Figs. 17, 18, and Table 3). Third, both the chaotic system parameters initializer and the sealing code layer conservatively use the encryption key to effectively hide its identity. The chaotic system parameter initializer applies partial splitting, randomization, and shift-XOR operation to process the key. The sealing layer uses the diffusion stage and other color theory-based operations to avoid having any trace of the key in the resulting sealing code. 2b1af7f3a8